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.
Letters
New course ā 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 OpenAIās Isa Fulford and me.
Letters
"Visual Promptingā 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. Itās a lot of fun! I invite you to try it.
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...
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.
Letters
When One Machine Learning Model Learns From Another: Was Googleās 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 Googleās Bard large language model was trained in part on output from OpenAIās ChatGPT, which would have violated OpenAIās terms of use.
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 technologyās 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).
Letters
AGI Progress Report: The latest AI models are exciting, but they're far from artificial general intelligence
Hereās a quiz for you. Which company said this? āItās always been a challenge to create computers that can actually communicate with and operate at anything like the level of a human mind...
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.
Letters
Watermarking is a No-Go: Market incentives will keep creators from watermarking AI-generated output.
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.
Letters
AIās Instagram Problem: Someone elseās cool AI project doesn't make your project less valuable.
AI has an Instagram problem. Just as Instagramās parade of perfect physiques makes many people feel they donāt measure up, AIās parade of exciting projects makes many people feel their own projects are lacking.
Letters
Training Generative AI: Whatās Legal Versus Whatās Fair: Should AI be allowed to learn from data that's freely available to humans?
As you can read in this issue of The Batch, generative AI companies are being sued over their use of data (specifically images and code) scraped from the web to train their models.
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