Bola Adegbulu

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Bola Adegbulu

Bola Adegbulu

@Bolafyn

Building and Investing at the intersection of AI and Industrials. Exited Founder, Ex Principal at Andrew Ng's AI Fund.

San Francisco, CA เข้าร่วม Ekim 2021
171 กำลังติดตาม82 ผู้ติดตาม
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Bola Adegbulu
Bola Adegbulu@Bolafyn·
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…
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Andrew Ng
Andrew Ng@AndrewYNg·
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.
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Dynamo Ventures
Dynamo Ventures@ThisIsDynamo·
🔍 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
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Dynamo Ventures
Dynamo Ventures@ThisIsDynamo·
🎙️ 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
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Andrew Ng
Andrew Ng@AndrewYNg·
Happy New Year! I hope you have a 2024 filled with love, growth and adventure.
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INSIDE
INSIDE@inside·
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. 🧵
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DeepLearning.AI
DeepLearning.AI@DeepLearningAI·
🚨 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
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Storytell
Storytell@storytell_ai·
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.
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Ms_T
Ms_T@MsDamieThompson·
@bosuntijani @Bolafyn comes highly recommended
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Andrew Ng
Andrew Ng@AndrewYNg·
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/…
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Andrew Ng
Andrew Ng@AndrewYNg·
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…
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Andrew Ng
Andrew Ng@AndrewYNg·
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/…
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Eric Paley
Eric Paley@epaley·
"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.
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Andrew Ng
Andrew Ng@AndrewYNg·
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!
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Andrew Ng
Andrew Ng@AndrewYNg·
@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!
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Andrew Ng
Andrew Ng@AndrewYNg·
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…
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Andrew Ng
Andrew Ng@AndrewYNg·
If you’re a frequent user of ChatGPT, what are you using it for?
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Percy Liang
Percy Liang@percyliang·
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/
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