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Ed Donner shared thisI’ve been invited to run another Live Event! It’s next Thurs April 9th on Choosing the right LLM, hosted by AI publishing giants O'Reilly and Pearson. This is one of my very favorite topics. Left unchecked, I’ll happily give impromptu lectures to all my friends on how to pick the right LLM for the task at hand. And now I have a captive audience! We’ll put the most powerful models on the planet through a barrage of intelligence tests. Gemini 3.1 Pro, GPT 5.4, Claude Opus 4.6 plus open-source contenders GLM 5, Minimax M2.7, Kimi K2.5. Then we'll pit GPT OSS 120B on Cerebras vs Nemotron 3 Super in a speed test. Can we hit 1,000 tokens per second? We’ll use RAG to get more commercial value from LLMs. We’ll fine-tune an LLM live, with everyone watching on Weights & Biases, to see if it can beat a frontier model 1,000 times bigger at a particular task. I’ll put a link in the comments. There’s a free trial if you’re not already an O’Reilly member and a recording will be available afterwards as long as you enroll in advance. Just be warned: by the end of it, you may find yourself giving a few impromptu lectures of your own…
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Ed Donner shared thisLast week I made a fun video with Claude Code building a Space Shooter Sim. This week's video is serious business! I hear this a lot: “Sure, Coding Agents are great with demos and MVPs. But can you actually use them on an enterprise codebase? Can we have any confidence in their code quality? Or are we building up a debt of verbose, repetitive, emoji-laden code that will take years to unravel..” My answer: Yes, Claude Code is a force multiplier even in large codebases. Yes, there’s a significant risk of generating a tidal wave of slop. We need to work hard to prevent it. I made 2 short videos on how to actually succeed with Coding Agents at enterprise scale. We take a real-world codebase with over 1 million lines of code across 15,000 files. We build a commercial feature. We stand behind the quality of the code. I’ll put a link in the comments. The net result isn’t a 10X productivity boost. But the time savings are undeniable and the quality holds up. And if you’re looking for a way to occupy your extra time, I have this Space Shooter Sim…
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Ed Donner shared thisI strive to make my tutorials commercially valuable with real-world impact. Well, except for today.. I’ve been having ridiculous fun experimenting with the latest features in Claude Code, including OpenClaw-inspired Channels that give you an ‘Always On’ experience in your chat app. Claude and I had a pleasant chat over Telegram while I was away from my computer. It built me a retro Space Shooter sim inspired by the iconic 80s game Elite. The game was live when I got back. I’ll put a link in the comments to my YouTube tutorial, and also my Coding Agents course. This tutorial is a great way to see new features in action: permissions modes, Remote Control, Channels. And it’s also a great way to make your own space shooter sim.
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Ed Donner shared thisThere’s a small but important gap in my AI Engineering courses. I don’t connect the dots all the way from Traditional ML, through Deep Learning, to modern LLM Engineering. And I’m fixing that tomorrow! I’m running a 5-hour live event hosted by O'Reilly and Pearson: “From Software Engineer to AI Data Scientist” on Tues March 10, starting 10am ET. This event will take you on the complete journey from traditional ML all the way to RAG, Agents and MCP. Along the way, we'll build intuition with satisfying examples, like watching a model's results get ruined by a classic case of overfitting. I’ll post the link in the comments. You’ll get a recording afterwards if you enroll in advance. We’ll connect the dots. We’ll build intuition. And we’ll have a lot of fun doing it. Hope to see you there.
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Ed Donner shared thisI always have fun making courses. But I’ll say this: 2 weeks ago I launched my latest course on Coding Agents like Claude Code, Antigravity and Codex. NEVER have I had as much fun making a course. Not even close. The Capstone uses Skills and Claude Agent Teams to build an LLM-enabled Trader Workstation with live market data… in 2 hours. Over 6,000 are enrolled already (I think by far my biggest launch), and from the comments and products shared so far, everyone is having just as much fun as me! We cover best practices for building software with Coding Agents, whether you've never coded or you're a seasoned pro. We also cover everything making the headlines: Ralph Loops, GSD, Gas Town, Claude Agent SDK, Swarms, Sandboxes.. ..and yes OpenClaw. I'll put a link to the course in the comments if you’re interested. You’ll build a lot. You’ll learn a lot. And one thing I’m pretty sure of: You’ll have a lot of fun.
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Ed Donner shared thisNEW COURSE LAUNCH! I have quite the rollercoaster in store for you. Most of my courses are about using CODE to make AGENTS. This one is about using AGENTS to make CODE. Andrej Karpathy, who coined the term ‘Vibe Coding’, described Coding Agents as powerful tools sent by aliens.. with no manual. This course is the manual! We cover all the main Coding Agents: Copilot, Cursor, Codex, Antigravity, OpenCode and Amp, with Claude Code as the star of the show. We dig into Skills, MCP, YOLO, Plugins, Hooks, Subagents, Swarms, Sandboxes and Orchestrators. We experiment with the latest advances: Ralph Loops, GSD, Gas Town, Claude Agent Teams, Claude Agent SDK, sprites.dev.. and yes OpenClaw. Whether you’ve never written a line of code or you’re a senior staff engineer, there’s something here for you. If you’re new: you’ll learn how to "be the boss" while your coding agent does the work. If you’re a developer: you’ll learn how to avoid LLM slop, command teams of agents, and build more without losing the joy of coding. In the capstone we build an interactive, AI-driven Trader Workstation, in 2 hours, with 10+ agents, without writing a line of code. Link in the comments. Buckle up.
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Ed Donner shared thisAnnouncing 3 AI live events coming IMMINENTLY! I know I go on about this, but I truly LOVE doing these. They’re the closest a nerd like me will ever get to being a celeb Twitch streamer. I’m running all 3 of my events in the next 2 weeks: Thurs Jan 29th at 10am ET: From Software Engineer to AI Data Scientist 5 hour satisfying progression from Traditional ML to modern AI Engineering, with RAG, Agents and evaluations. Tues Feb 3rd at 1pm ET: Hands-on LLM Engineering: 4 hour workshop on solving commercial problems with LLMs, including magical Agent Loops, more RAG, Agents, and everyone’s favorite.. MCP Thurs Feb 5th at 12pm ET: Choosing the Right LLM 4 hour deep dive into selecting the best model for the task. I fine-tune an LLM live, while you watch on Weights & Biases, to get stunning results. I always add new twists and turns.. The latest models, the latest techniques, and always some new surprises. If a new frontier model gets released during an event, then you get the live reaction! These events are hosted by the AI academy giants O'Reilly and Pearson. If you’re not a member of O’Reilly, there’s a free 10-day trial that would cover all 3 events. Recordings are available afterwards, but there’s a catch: you need to enroll in advance, even if you can’t attend live. The live stream experience is everything. There’s banter, tough questions, a ridiculous number of emojis that nearly crash the platform.. you have to experience it. And I hope you do! I’ll put a link in the comments. I hope to see you there. I’m counting on you to keep me on my toes. I want that full Twitch Streamer experience!
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Ed Donner shared thisI’ve been working on this idea for a while.. and it launches TODAY! In recent months, several hiring managers have asked me if I could connect them with graduates from my AI courses. I’ve suggested that they post on LinkedIn. I realized I could make this rather easier for everyone.. And so today I’m launching: the Proficient AI Engineer directory. It’s an opt-in directory of people who completed my full AI curriculum with their certificates. And there’s a twist! The directory doesn’t just list you. It also links to the AI Digital Twin that you built on the courses. Potential clients, or perhaps future employers, can chat with your Twin 24/7 to understand your skills and experience, explore your interests and availability, and even reach out or schedule time using your Agentic Tools. It’s a creative way to showcase what you can do. I’ll put a link to the Proficient AI Engineer directory in the comments, with instructions if you’d like to be included. I can't wait to chat with all your digital twins!
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Ed Donner shared thisNEW YEAR, NEW COURSE! I just launched a new Udemy course on building Agents and Voice Agents with n8n & ElevenLabs. I packed everything into a 3-week journey. It’s got to be the most satisfying 3 weeks I’ve ever made. 1,000 people enrolled in the first couple of days and I’m super grateful! I have a wild ride in store for you. And look I’ll be honest: in the past, I’ve been a bit snooty about n8n. As a low-code platform, it seems almost.. too simple. But that’s the point! It’s ridiculously simple. Things that used to take days, now take hours, and sometimes minutes. It’s so easy that it feels like cheating. To entrepreneurs, consultants, leaders, business & product people: You’ll be able to accelerate your business, and your clients’ business, even if you've never written a line of code. And to my technical people: You'll build, integrate and deploy Agents in a fraction of the time. You'll delight your sponsors and clients by collaborating with them in real time. We deliver real-world commercial Agentic projects. Along the way, we use GPT 5.2, Gemini 3, Claude and DeepSeek; we cover Agentic RAG, MCP, Context Engineering, Sub-Agents, Agent Security and so much more. Something for everyone! Whether or not you take the course, my one ask is this: spend 20 mins trying n8n. I think you’ll agree. It feels like cheating. I'll put a link to the course in the comments
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Ed Donner reacted on thisEd Donner reacted on thisIt has been an incredible 6 week journey learning all about Agentic AI and frameworks like Crew AI, Langchain, Autogen and the USB-C of Agentic AI - MCP! Highly recommend AI Engineer Agentic track : The complete Agent & MCP course by Ed Donner! The course is very well structured and engaging. Ed - I did get busted for jumping to MCP but made sure to go back and learn all the frameworks 😀 Looking forward to deploying more agents!
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Ed Donner reacted on thisEd Donner reacted on thisI have entered the world of AI Engineering. I believe that understanding how AI works and how it adds value to industry is the future. I have just completed 6 AI Engineering training courses covering theory, exposure to a myriad of LLMs, code development environments, deployment options, various specialty AI-enabling features, and practical projects ready for commercialization. Many thanks go to Ed Donner, the instructor, whose teaching style challenged me to become proficient and obtain expertise, as well as his being enthusiastic and entertaining. I plan to build AI products that can assist with program management, technology development investment decision-making, and whatever other challenges clients may ask me to explore. I see now where AI can benefit professionals, not replace them. I look forward to exploring new opportunities with you in the future.
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Ed Donner reacted on thisEd Donner reacted on thisExcited to share that I’ve completed the AI Engineer Agentic Track: The Complete Agent & MCP Course. 🚀 What a learning journey this has been! Over the 6 weeks period, I got to dive deep into Agentic AI—starting with the fundamentals of connecting LLMs using solid design patterns, and then levelling up each week with powerful frameworks like OpenAI Agents SDK, CrewAI, LangGraph and Autogen. The highlight was exploring MCP and the kind of opportunities it opens up for building truly capable and autonomous AI systems—definitely a game changer! Huge shoutout to Ed Donner for being an amazing instructor. The way he breaks down complex ideas and makes them practical and easy to grasp really made a difference. Feeling more excited to start applying these learnings to real-world projects and keep building in the AI space! 💡 #AI #AgenticAI #AIAgents #MachineLearning #LearningJourney
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Ed Donner reacted on thisEd Donner reacted on thisJust completed “AI Leader: Generative AI & Agentic AI for Leaders & Founders” by Ed Donner Udemy. A really valuable introduction to thinking about AI beyond just the tools, more around how to approach it strategically, how to evaluate where it actually creates value, and how organisations can move from experimentation to real adoption. One thing that stood out to me is how much the challenge isn’t the technology itself, but how you structure decisions, manage risk, and drive adoption across a business. That shift from “AI capability” to real business impact is something I’m increasingly interested in exploring further. I’m still early in my journey here, but it’s been great to start building a more structured understanding of GenAI and agentic systems from a business perspective. Appreciate the clarity and practical framing in the course, thank you Ed. #AI #GenAI #AgenticAI #AIStrategy #Learning
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Ed Donner reacted on thisEd Donner reacted on thisI just completed AI Coder: From Vibe Coder to Agentic Engineer, by Ed Donner, and one thing became very clear: 2026 feels like the year software development truly startes changing. We are moving beyond AI as a coding assistant and into AI as a working system of agents that can help plan, build, test, and ship real products at extraordinary speed. That does not mean the hype is all justified. These tools still make bad assumptions. They still produce sloppy output. They still need strong direction. But when you know how to structure the work, manage context, and orchestrate the agents correctly, the results can feel borderline unreal. What I liked about this course is that it did not treat this shift like a gimmick. It walked through the actual tooling, workflows, and discipline behind modern agentic development — from Cursor, Copilot, and Codex to Claude Code, MCP, plugins, skills, sub-agents, and multi-agent systems. Even better, it was not just theory. The projects included: • an AI Digital Twin website • a Kanban project management platform • a legal SaaS assistant • a real-time trading workstation with an AI assistant The real advantage is no longer just knowing how to code. It is learning how to guide, constrain, and orchestrate coding agents so they produce useful outcomes instead of chaos. That is a different skillset. And it is becoming a very important one. Really glad I took this course — it was so much fun! Thank you again, Ed Donner! #AI #AgenticAI #CodingAgents #SoftwareDevelopment #ClaudeCode #Cursor #MCP #GenerativeAI #LLMs #BuildForTheFuture #TheFutureIsNow
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Phyllian Kipchirchir
Charted Growth • 3K followers
New York City-based Betaworks has closed its third fund at $66M to invest in early-stage AI startups. Betaworks, a staple of the NYC tech ecosystem since 2008, will focus its new fund on investing in pre-seed and seed-stage AI companies. The firm has been investing in AI since 2016 and has backed companies like Hugging Face. Fund III is larger than the firm's previous funds ($46M Fund II in 2020 and $48M Fund I in 2016) and saw many of its previous limited partners return to invest, a strong signal in a challenging fundraising environment for VCs. The fund will seek to make at least 25 pre-seed to seed investments, as well as 50 investments into startups as part of the Betaworks Camps program. Congratulations to the Betaworks team. TechCrunch: https://lnkd.in/d--hfMpa #VentureCapital #AI #EarlyStage #SeedFunding #NYCTech #Fundraising
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Tom Campbell
DeepBlue Dynamics • 2K followers
Chase is essentially saying "we need to invest in companies that can predict the future while we ourselves have no idea what's coming." Meanwhile, AI is speed-running through entire startup lifecycles in 12 months, making due diligence feel like reading yesterday's newspaper. https://lnkd.in/gXhpJGAP
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Carlotta "Lotti" Siniscalco
Emergence Capital • 10K followers
The next frontier of AI isn't just about choosing the right model. It's about building moats through implementation. Across the Emergence Capital portfolio, companies like Bland and Federato are scaling faster by embedding Forward-Deployed Engineers. These engineers bridge the gap between AI and reality, ensuring real results in production. Read more from my colleagues Gordon and Kyle on why FDEs are the key to unlocking AI's full value. https://lnkd.in/gcsRRGX2
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Neal Ghosh
9point8 Collective • 3K followers
Trying something new this week - a studio industry roundup with my take on what matters. The studio model is no longer an experiment being run in a handful of places. It is infrastructure being built across geographies, sectors, and institutional types. 5️⃣ stories from the past seven days: 1️⃣ OSS Ventures hit a EUR 40M first close on a EUR 75M follow-on fund -- capital raised specifically to back the 30 companies their studio created since 2019. The "build then fund" lifecycle is maturing. B'More Venture Studio with a similar thesis: studio operations first, then dedicated capital to scale what's working. 2️⃣ Delta40 raised $20M from 54 investors across 13 countries to launch Africa's first integrated venture studio and fund. The LP base is almost entirely DFIs and foundations. Impact capital is discovering the studio model as a deployment vehicle, something I seeing across geographies (conversations with Michael Bob Starr and Damias McDonald this week alone) 3️⃣ Start Holdings launched Start.vc out of NYC and Barcelona after a $200M EV infrastructure exit. Another operator-turned-studio-founder. This is the pattern we see quite often in our work at 9point8 -- experienced operators like Jason Goldsmith who've built and exited deciding the studio model is how they want to build next. 4️⃣ UBC HATCH admitted 10 new deep-tech spinouts for Winter 2026 -- mostly climate tech. University venture builders are quietly becoming one of the fastest-growing segments. Follow Evan Allen and Jaimie Testai to keep track of its rapid evolution. 5️⃣ The INVEST Act is advancing through the Senate. If passed, it expands qualifying VC fund size from $10M to $50M and loosens general solicitation rules for accelerator and university events. For studio-funds -- and for folks in the The Venture Studio Forum community tracking policy -- this could be the most significant capital formation legislation since the JOBS Act. If this roundup format is useful, I'll keep it going. What other noteworthy news hit your desk this week, and what stood out to you?
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Vic Singh
RRE Ventures • 5K followers
A Founders Guide to The Long Build™ - Physical AI Thesis Part III This one is for the builders. In this final post, my partner Will Porteous and I along with insights from builders in the trenches and investors who play the long game share our guide for founders building intelligence in the real world. A few core takeaways: • Sim before steel: Runway is precious, model the system behavior • Capital intensity is not the enemy — misaligned capital is • Build complete solutions before you talk platform • Hardware opens the door, software wins the room • Trust is earned through resilience, not hype
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Robin Guo
Stealth Startup • 34K followers
Imo fundraising is actually quite binary You’re rather building in a hot category (vertical AI SaaS) with an in-meta team (Stanford / MIT / OAI / PhD) and VCs are tripping over themselves to invest Or you’re not an it’s a three month slog to get a few believers. The core of this dichotomy is the myth that venture is contrarian. It’s often not. There are contrarian outcomes and bets for sure but the vast majority of early stage bets are consensus and heuristic driven
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Andrew J Scott
7percent Ventures • 17K followers
I like the sentiment but honestly shouldn't this be exactly what Advanced Research + Invention Agency (ARIA) should be doing? This feels like duplication. https://lnkd.in/eBBf9kYm I'd rather see that 40m e.g. go out as a commercial tender to two or three winning companies for the first step toward a UK sovereign AI model. We have lots of R&D in the UK via universities and other places; what we DON'T have is the ability to scale those technologies with promise commercially without them flipping to the US. And the UK gov is not offering big customer contracts to startups to help them prosper or help them stay in the UK. This is solving the WRONG problem IMHO.
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Jeff Morris Jr.
Chapter One • 11K followers
I've seen a lot of solo founders getting scooped up by OpenAI, Coinbase, and others. I'm not sure if this is a corp dev strategy or purely coincidental, but it's much easier to acqui-hire solo founders than teams with multiple founders. Smaller amounts of cash can be life-changing for a solo founder, but when you have to divide the pie, it becomes less interesting. I have a feeling that corp dev teams are very aware of this and specifically target solo founders for small scale M&A. As a seed investor, this makes the underwriting of solo founders more complicated. We invest in teams and/or solo founders that want to go the distance. Knowing that a few million dollars is what it takes to get a solo founders attention is a challenging thing to figure out. By the way, I have zero judgment for solo founders who take these phone calls and go down the acqui-hire path. Incentives are powerful, and I understand the game.
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Polly Agrawal
Daely • 4K followers
I've talked to hundreds of founders spending 40+ hours a month on ops work that shouldn't be theirs. Writing briefs, scoping roles, explaining the same task twice. So I put together 10 Claude prompts to remove that layer completely. → One-line task into a contractor brief → Slack message into a clean handoff doc → Vet a candidate portfolio in under 10 minutes → Scope a role without a job description → Audit your week and cut what shouldn't be yours Copy, paste, and move on with no setup needed. Completely free. Comment "PROMPTS" and connect with me. I'll DM it over.
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Ashish A.
Chamaeleon • 18K followers
Anthropic just published a fascinating piece on something they call the Assistant Axis. LLMs have an internal “direction” that makes them behave like the calm, helpful assistant we expect. Over time, they can drift and start sounding like storytellers, philosophers, or overly confident experts. Anthropic shows how identifying and constraining this axis can keep AI behavior more stable and aligned. This research is interesting because it makes persona measurable and controllable. The real question is how much control is too much. When you use different LLMs today, what persona do you most often experience? Helpful assistant, creative partner, confident expert, or something else? https://lnkd.in/gcfs65hD #AI #LLMs #Anthropic #AIAlignment #FoundationModels #MachineLearning #ResponsibleAI
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Taylor Black
Microsoft • 8K followers
Reading Metronome’s Monetization Operating Model, I kept coming back to one idea: pricing has become product. Software now delivers outcomes, not access. Yet most companies still charge as if they’re selling seats or licenses. That disconnect creates friction: for customers, unpredictability; for companies, stalled growth. The paper’s argument is simple but sharp—monetization isn’t a late-stage decision. It’s strategic infrastructure. Pricing needs the same ownership and iteration as any feature. Treat it like a surface that customers touch, not a spreadsheet buried in finance. If value is continuous and dynamic, pricing must be as well. That means product, GTM, finance, and engineering working from one system of truth. How many of us still treat pricing as an afterthought—when it should be a growth engine? https://lnkd.in/gnH7WzYf #Monetization #ProductStrategy #AI
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Max Gladysh
BotsCrew • 5K followers
Gemini + Chrome. Perplexity + Comet. Now ChatGPT has Atlas. People have already used Atlas to buy hot dogs for a kid’s birthday party. Was it clunky? Yes. But it worked. That’s the shift: these aren’t search bars. They’re task agents. We’re moving into the era of: - Asking, not searching - Summaries, not scrolls - Actions, not just answers So here's the real question: If your customer never opens your website… Can an agent still find, understand, and trust your data? In this new AI-first web, visibility doesn’t mean blue links. It means being summarized, cited, and acted on without a single human click. It’s early and messy, but it’s coming fast. The brands designing for this shift today will power agent decisions tomorrow.
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Thierry Fautier
The Media League • 6K followers
NEWS: Yan LeCun lands a new job in a " tell it all interview " The ex Chief AI scientists at Meta does not believe in LLMs (I do) and has decided to bet on world models. His new company, Advanced Machine Intelligence Labs, is run by CEO Alex LeBrun. LeCun took the Executive Chair role instead. He says he's "too disorganized for this, and also too old" for the day-to-day stuff. Instead, his job is to inspire. France is back in AI.
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Sharda Cherwoo
The Carlyle Group • 8K followers
Wow! Fascinating article Andrew Antos & Nischal Nadhamuni about how the Klarity platform does knowledge capture! A total disruptor indeed for how consultants traditionally did this work! Capturing not just what happens but why it happens has always been the missing link in enterprise AI, and Klarity ’s approach to surfacing human reasoning through its intelligent platform is a real step forward. The #AI Advisor’s ability to traverse vast context graphs, uncover cross-team patterns, and turn knowledge into actionable insights shows how innovation in knowledge capture can truly transform enterprise decision-making.
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Charlie Greene
Remento • 7K followers
Question to those using LLMs every day: Which LLM work best for team collaboration and shared AI workflows? I'm personally split 50/50 between ChatGPT and Claude. But as we look to invest in an Enterprise account for Remento, I'm realizing I definitely have some blind spots... Our primary goal is to easily create reusable AI assistants that any team member can access, trained on our specific knowledge base. For example: 👉 Marketing copy aligned with brand voice 👉 Product feedback based on customer research 👉 Content strategy from audience data For those who've made this transition: what's working?
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Jason Shuman
Primary Venture Partners • 38K followers
I’ve spoken to over 2 dozen MDs at PE firms I can confidently say that the arb of figuring out how to implement Vertical AI at portfolio companies is very real right now It will fundamentally change underwriting for those who can do it predictably and unlock generational returns. Most are aware they need to act. Very few have.
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Tara Tan
Strange Ventures • 16K followers
I’ve cancelled more software subscriptions this past year than ever before. Same story in my group chats. This feels like a canary in a coal mine: 90% of enterprises now say software consolidation is a priority. It makes sense. Why piece together hundreds of software subscriptions when AI can help pull from a unified database and build custom apps and workflows that fits you and your own? This is a massive market to disrupt. Enterprises in the US spend over $8,700 annually per employee, with a staggering 51% of licenses that goes unused. question I keep coming back to: what happens to the massive valuations handed out during SaaS’s heyday?
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Daniel Kempe
Quuu • 3K followers
Interesting insights are emerging for those eager to dive into the world of Retrieval-Augmented Generation (RAG). One article highlights five engaging projects that are perfect for absolute beginners. These projects demonstrate that RAG isn't just confined to simple text retrieval; it has versatility that can inspire creativity and innovation. For example, imagine creating a Q&A bot from PDFs using local models—no paid APIs necessary. As you explore this hands-on experience, you'll also navigate more advanced projects, like building real-time systems with graphs or even developing devices that run entirely off the cloud. Why does this matter? The implications of developing skills in this field can be transformative, allowing individuals to build custom applications that can reason and think beyond just retrieving data. This could ultimately reshape how we interact with AI and manage information processing. What are your thoughts on integrating such adaptable systems into modern applications? Have you tried any of these projects, or are you considering starting one? https://lnkd.in/euiw7pC4
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