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LoRA, explained
LoRA or Low-Rank Adaptation has become something of a buzzword recently. We’ve heard LoRA thrown around in conversation frequently (sometimes where it…
 • 
Vikram Sreekanti
 and 
Joseph E. Gonzalez
3
How our Test-of-Time Paper Almost Wasn’t
The non-linear path to success
 • 
Joseph E. Gonzalez
 and 
Yucheng Low
RLHF and LLM evaluations
Last week, we released an interview with Nathan Lambert (Research Scientist at HuggingFace) on RLHF and LLM evaluations. This has become one of our most…
 • 
Joseph E. Gonzalez
How to Optimize Retrieval-Augmented Generation
The latest episode of our podcast is out! We had Nathan Lambert from HuggingFace on to discuss RLHF, LLM evaluations, and how to improve discussion…
 • 
Joseph E. Gonzalez
 and 
Vikram Sreekanti
Should you fine-tune a model?
A couple weeks ago, we wrote about where to start when building an LLM application. One of our claims (perhaps controversial) was that you shouldn’t…
 • 
Vikram Sreekanti
 and 
Joseph E. Gonzalez
The Easiest Part of LLM Applications is the LLM
LLMs have brought thousands of developers into the machine learning world. The models themselves are, of course, impressive and key to the explosion of…
 • 
Joseph E. Gonzalez
 and 
Vikram Sreekanti
1
A deep dive on Llama Index
On the Generating Conversation podcast this week, we chatted with Jerry Liu, co-founder & CEO of Llama Index. Llama Index is an open-source project that…
 • 
Joseph E. Gonzalez
Generating Conversation
Generating Conversation
The latest in generative AI & LLMs across research and industry.

Generating Conversation

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