Building AI Systems No Longer Requires Much Data: Pretrained models make it possible to build AI systems using very little additional data.
Letters

Building AI Systems No Longer Requires Much Data: Pretrained models make it possible to build AI systems using very little additional data.

It’s time to move beyond the stereotype that machine learning systems need a lot of data. While having more data is helpful, large pretrained models make it practical to build viable systems using a very small labeled training set — perhaps just a handful of examples specific to your application.
Beyond Test Sets: How prompting is changing machine learning development
Letters

Beyond Test Sets: How prompting is changing machine learning development

A few weeks ago, I wrote about my team at Landing AI’s work on visual prompting. With the speed of building machine learning applications through text prompting and visual prompting, I’m...
Doing Business with Chatbots: Companies might be overestimating how much it costs to run LLM-based applications.
Letters

Doing Business with Chatbots: Companies might be overestimating how much it costs to run LLM-based applications.

There are many great applications to be built on top of large language models, and the overhead of doing so may be lower than you think. Sometimes, I've spent all day on a weekend developing ideas only to find that I've spent less than $0.50.
New course — ChatGPT Prompt Engineering for Developers: Learn how to use ChatGPT's API to build applications for text processing, robotic process automation, coaching, and more
Letters

New course — ChatGPT Prompt Engineering for Developers: Learn how to use ChatGPT's API to build applications for text processing, robotic process automation, coaching, and more

Last week, we released a new course, ChatGPT Prompt Engineering for Developers, created in collaboration with OpenAI. This short, 1.5-hour course is taught by OpenAI’s Isa Fulford and me.
"Visual Prompting” Builds Vision Models in Seconds: A new approach applies ideas from text prompting to computer vision
Letters

"Visual Prompting” Builds Vision Models in Seconds: A new approach applies ideas from text prompting to computer vision

My team at Landing AI just announced a new tool for quickly building computer vision models, using a technique we call Visual Prompting. It’s a lot of fun! I invite you to try it.
Opportunities and Pitfalls for Large Language Models: The LLM business landscape is crowded with APIs and short on high-value, hard-to-build applications.
Letters

Opportunities and Pitfalls for Large Language Models: The LLM business landscape is crowded with APIs and short on high-value, hard-to-build applications.

The competitive landscape of large language models (LLMs) is evolving quickly. The ultimate winners are yet to be determined, and already the current dynamics are exciting. Let me share a few observations, focusing on direct-to-consumer...
Time to Push Back on AI Pessimism: The recent proposal to pause AI research is a wake-up call.
Letters

Time to Push Back on AI Pessimism: The recent proposal to pause AI research is a wake-up call.

An ill-advised proposal for a 6-month pause in cutting-edge AI research got far more attention than I think it deserved. To me, this is a wake-up call that the AI doomers have done a much better job than the AI optimists at framing the narrative of progress in AI.
Figure showing how researchers obtained the Alpaca model
Letters

When One Machine Learning Model Learns From Another: Was Google’s Bard trained on output from OpenAI's ChatGPT? The technique is legit, but it raises thorny questions.

Last week, the tech news site The Information reported an internal controversy at Google. Engineers were concerned that Google’s Bard large language model was trained in part on output from OpenAI’s ChatGPT, which would have violated OpenAI’s terms of use.
Emad Mostaque, Alexandr Wang, Andrew Ng, and Peter Diamandis at Abundance 360, March 20, 2023
Letters

Catching AI's Next Wave: Generative AI will drive tremendous value and growth.

Generative AI is taking off, and along with it excitement and hype about the technology’s potential. I encourage you to think of it as a general-purpose technology (GPT, not to be confused with the other GPT: generative pretrained transformer).
IBM Watson wins the television game show Jeopardy!, February 16, 2011
Letters

AGI Progress Report: The latest AI models are exciting, but they're far from artificial general intelligence

Here’s a quiz for you. Which company said this? “It’s always been a challenge to create computers that can actually communicate with and operate at anything like the level of a human mind...
Surviving Silicon Valley Bank: The collapse of SVB threatened tech startups, but brought the AI community together.
Letters

Surviving Silicon Valley Bank: The collapse of SVB threatened tech startups, but brought the AI community together.

Last week, Silicon Valley Bank (SVB), Signature Bank, and Silvergate Bank suddenly collapsed. If it passed uneventfully from your point of view, good for you! Many companies worked nonstop through the weekend scrambling to preserve funds so they could pay their employees.
First mill-brand watermarked paper with the text "Old Council Tree Bond 100% Cotton Fiber"
Letters

Watermarking is a No-Go: Market incentives will keep creators from watermarking AI-generated content.

ChatGPT has raised fears that students will harm their learning by using it to complete assignments. Voice cloning, another generative AI technology, has fooled people into giving large sums of money to scammers, as you can read in this issue of The Batch.
Landing AI's computer vision platform, LandingLens
Letters

Computer Vision Made Easy!: LandingLens enables anyone to build in minutes models that used to take months.

Landing AI, a sister company of DeepLearning.AI, just released its computer vision platform, LandingLens, for everyone to start using for free. You can try it now.
Chatbot emoji with a happy and an angry face
Letters

Bad Bot, Good Bot: What Bing's unruly chatbot means for the future of search.

As you can read in this issue of The Batch, Microsoft’s effort to reinvent web search by adding a large language model snagged when its chatbot went off the rails. Both Bing chat and Google’s Bard...
Cellphone displaying an Instagram post with a picture of a robot doing yoga by the sunset
Letters

AI‘s Instagram Problem: Someone else’s cool AI project doesn't make your project less valuable.

AI has an Instagram problem. Just as Instagram’s parade of perfect physiques makes many people feel they don’t measure up, AI’s parade of exciting projects makes many people feel their own projects are lacking.

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