Bola Adegbulu

Defensibility - A subject that is very topical at the moment. Excited to share my latest article on building a defensible generative AI company! open.substack.com/pub/noveleffic…

Today's "DeepSeek selloff" in the stock market -- attributed to DeepSeek V3/R1 disrupting the tech ecosystem -- is another sign that the application layer is a great place to be. The foundation model layer being hyper-competitive is great for people building applications.

🔍 We’re searching for passionate entrepreneurs & business leaders for a Founder-in-Residence for a project with @AI_Fund. We’ve identified an opportunity to build a startup in the freight brokerage industry given the trends we’re seeing with AI. buff.ly/3XlKj9f

🎙️ During this episode, @madelyn__o is joined by @Bolafyn, Principal Builder at @AI_Fund, a venture studio that works with entrepreneurs to build companies rapidly and increase the odds of success. Check it out 👇 buff.ly/46PY0BE

We join @Bolafyn in pushing back!

Happy New Year! I hope you have a 2024 filled with love, growth and adventure.

Bola Adegbulu (@Bolafyn) of @AI_Fund, founded by AI pioneer, @AndrewYNg, shared insights at Meet Our Fund 5. With a $175M fund, AI Fund is shaping the AI landscape, backing startups with domain expertise and a unique approach to tech. 🧵

🚨 New short course alert! "Functions, Tools, and Agents with LangChain" reflects new capabilities of LLMs and @langchain. Explore advancements like OpenAI’s function calling and a new syntax called LCEL, and build a conversational agent. Enroll now ➡️ hubs.la/Q026Kcrf0

What an incredible weekend with @storytell_ai users at the Lagoon Retreat. Thank you @jingconan, @Bolafyn and @manny_akintayo for your LLM expertise at our AI Fireside Chat, and Storytell users for your input and support as we build SmartChat™ for you.

@bosuntijani @Bolafyn comes highly recommended

New short course on Fine-tuning LLMs! Many developers are moving beyond only prompting, to also fine-tuning LLMs - that is, taking a pre-trained model and training it further on your own data, which can deliver superior results inexpensively. In this course, @realSharonZhou, CEO of Lamini (disclosure: I’m a minor shareholder) shows you how to recognize when fine-tuning can be help, and how to train an open-source LLM on your own data. I hope you enjoy the course! deeplearning.ai/short-courses/…

Do Large Language Models really "understand" the world, or just give the appearance of understanding? Evidence (e.g., Othello-GPT) shows LLMs build models of how the world works, which makes me comfortable saying they do understand. More in The Batch: deeplearning.ai/the-batch/issu…

Evaluating and Debugging Generative AI, created with @weights_biases and taught by @carey_phelps, is now available! ML is an iterative process, and many of us used to track our models/experiments in a text file or spreadsheet, which gets messy. There’re now much better tools like Weights & Biases, that make your development process more efficient. Learn how to use such tools to be systematic how you build Generative AI projects! deeplearning.ai/short-courses/…

"Startups are bought, not sold" is one of the biggest value-destroying myths in VC. Founders can and should lay the groundwork for a sale years in advance by proactively reaching out to and meeting with potential acquirers. Don't wait to be "discovered" by corporate M&A teams.

Had an insightful conversation with @geoffreyhinton about AI and catastrophic risks. Two thoughts we want to share: (i) It's important that AI scientists reach consensus on risks-similar to climate scientists, who have rough consensus on climate change-to shape good policy. (ii) Do AI models understand the world? We think they do. If we list out and develop a shared view on key technical questions like this, it will help move us toward consensus on risks. I learned a lot speaking with Geoff. Let’s all of us in AI keep having conversations to learn from each other!

@OpenAI @isafulf 3/ Until now, there has been relatively little material on best practices for developers wanting to build applications using API access to LLMs (as opposed to how to prompt the web UI). We’re excited to change that. I hope you enjoy the course!

2/While a data moat can be helpful, I find people tend to overestimate its strength. The engineering recipe of training on someone else’s API output also raises technical, business and legal questions. My longer piece on this in The Batch: deeplearning.ai/the-batch/issu…

If you’re a frequent user of ChatGPT, what are you using it for?

Holistic Evaluation of Language Models (HELM) v0.2.2 is updated with results from @CohereAI's command models and @Aleph__Alpha's Luminous models. Models are definitely getting better on average, but improvements are uneven. crfm.stanford.edu/helm/v0.2.2/

"@insightpartners' @LonneJ gives his take on the state of European AI innovation, which he says could benefit from generative models" sifted.eu/articles/insig… @JasperAi @wandb @Siftedeu