Introducing improvements to the fine-tuning API and expanding our custom models program
We’re adding new features to help developers have more control over fine-tuning and announcing new ways to build custom models with OpenAI.
/AI Weekly/Issue 47
improvements to the fine-tuning API and personalized AI playlists
Published Tuesday, April 9, 2024
We’re adding new features to help developers have more control over fine-tuning and announcing new ways to build custom models with OpenAI.
AI playlists will initially become available to users on Android and iOS devices in the U.K. and Australia and will be iterated on in the months ahead.
The LLMOps repository offers a structured pathway for organizations to navigate the complexities of implementing and scaling LLM applications. By understandi...
Join us as Nitya Narasimhan, Senior Cloud Advocate on the AI Advocacy team at Microsoft, shares her insights on the future of AI and its potential for revolu...
Increasingly, the AI industry is moving toward generative AI models with longer contexts. But models with large context windows tend to be compute-intensive. Ori Goshen, the CEO of AI startup AI21 Labs, asserts that this doesn’t have to be the case — and his company is releasing a generative model to prove it. Contexts © 2024 TechCrunch. All rights reserved. For personal use only.
One can rerun the pipeline which incrementally updates the AI search vector index with new data. There is usually more data that needs to be integrated to a RAG app dynamically e.g. via a blob trigger.
Learn from in-demand experts, get hands-on with the latest AI innovations, and connect with the developer community.
The AI links worth your time, curated by the community and always free.