2/ In this short, 1.5 hour course, @isafulf and I teach how you can build applications quickly using large language models (LLMs), and best practices for doing so. Thank you Isa and the @OpenAI team for collaborating on this exciting course.
@andrewyng
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Free ChatGPT Prompt Engineering Course Available Now
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1/ Thrilled to announce: Our new course ChatGPT Prompt Engineering for Developers, created together with @OpenAI, is available now for free! Access it here: https://t.co/OaIpa6L2jn pic.twitter.com/g7pk04Oi3h
— Andrew Ng (@AndrewYNg) 27 avril 20231/ Thrilled to announce: Our new course ChatGPT Prompt Engineering for Developers, created together with @OpenAI
, is available now for free! Access it here: https://
deeplearning.ai/short-courses/
chatgpt-prompt-engineering-for-developers/
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Computer Vision Inflection Point: Large Pre-trained Vision Transformers
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2/2 Also, here's a video of the livestream where I discuss video prompting in detail, including why I think computer vision is reaching an inflection point (because of large pre-trained vision transformers). Let me know what you think!
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Visual Prompting Revolutionizes Computer Vision Model Development
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1/2 Visual Prompting takes ideas from text prompting, which has transformed NLP, to computer vision. Via a simple "visual prompt", you can build a vision model in seconds. Try it out here: https://
app.landing.ai/public/visual_
prompting
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Visual Prompting: Extending Text Prompting to Computer Vision
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Join me Tuesday to discuss Visual Prompting! Text prompting has revolutionized NLP: Traditional AI: Label -> Train -> Predict
Prompt based AI: Prompt -> Predict I’ll share early thoughts on taking this from text to vision w/Visual Prompting. RSVP here: https://
landing.ai/visual-prompti
ng
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Data Moats in AI: Technical, Business, and Legal Challenges
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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:
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Data Moats in AI: Why LLM Output Access Undermines Competitive Advantages
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1/Many AI businesses are searching for moats. A data moat strengthens your defenses if the data is hard to replicate. But if a business offers direct access to a ML model's output (like many LLMs), competitors can use that output as labeled training data, circumventing the moat.
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AI community unites to support each other during SVB crisis
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Dealing with SVB's collapse, I'm seeing a lot of the best of the AI & startup world: People are helping each other, sharing tips, even wiring funds on trust and without docs so someone else can make payroll. Very encouraging seeing our community rise together to the challenge!
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SVB Crisis: Protecting Depositors Essential for Tech Innovation
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I'm glad US gov is looking into protecting SVB's depositors. I see no need to bail out the bank's investors, but failing to protect depositors – who had taken no reckless risks – can mean large layoffs, damage to trust in banks, and setting back AI & tech innovation by years.
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Future LLM Size for Most Inferences in One Year
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One year from now, what size LLM (large language model) do you think will be used for the most inferences?