Code Llama, every mention
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Latent Space 14
every year every show Latent Space 14
Verbatim, from the transcripts: passages where Code Llama comes up on Latent Space
[LLM Paper Club] Llama 3.1 Paper: The Llama Family of Models
- ▶ 23:12 unnamed speaker Uh, they, they, like, uh, this is a big contrast to Lama two, where they were intentionally not training for code, and then they put out code Lama separately. 2 times in the scene
How to train a Million Context LLM — with Mark Huang of Gradient.ai
- ▶ 33:03 Mark Huang Um, which, which was seen, like, we do have historical precedent where CodeLlama was, you know, trained further from the, the, the original CodeLlama was trained further from Lama II, and it just lost, 2 times in the scene
Making Transformers Sing - with Mikey Shulman of Suno
- ▶ 8:52 Mikey Shulman So take something like Code Llama, which is, as far as I know, the best open source code generating model, uh, you guys would know better than I would, um, is certainly up there.
The Four Wars of the AI Stack - Dec 2023 Recap
- ▶ 5:40 unnamed speaker You know, uh, there's StarCoder, there is CodeLlama, but like, it's not really, for how important code is, it doesn't seem like as big of a battlefront as just general function calling, reasoning, um, you know, these, these other kinds of…
The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph
- ▶ 1:10:27 Shawn Wang Yeah, you didn't mention CodeLlama. 2 times in the scene
Beating GPT-4 with Open Source Models - with Michael Royzen of Phind
- ▶ 44:41 Shawn Wang So you started from Code Llama? 3 times in the scene
The End of Finetuning — with Jeremy Howard of Fast.ai
- ▶ 43:26 Jeremy Howard So Code Llama was a, I think it was like a five hundred billion token fine-tuning of Llama II using code. 3 times in the scene