Open Source Breakthroughs

Exciting advancements in open source models are emerging, with architectures like llama being fine-tuned to rival GPT-4. Innovations such as quantized Lora are making it feasible for individuals to engage in high-level machine learning without access to extensive resources. The potential for the next major breakthrough in generative AI to arise from the open source community is becoming increasingly plausible.

In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
695: NLP with Transformers — with Hugging Face's Lewis Tunstall
Related Questions
- How are large language models (LLMs) trained, as discussed in the episode 670: LLaMA: GPT-3 performance, 10x smaller — with Jon Krohn (@JonKrohnLearns) and the clip Llama Model Insights?
- Which model of large language model (LLM) is discussed in the episode 806: Llama 3.1 405B: The First Open-Source Frontier LLM — with Jon Krohn (@JonKrohnLearns) and the clip Llama 3.1 Insights?

Open Source Breakthroughs

In this clip

From this podcast

Super Data Science: ML & AI Podcast with Jon Krohn

695: NLP with Transformers — with Hugging Face's Lewis Tunstall

Related Questions

How are large language models (LLMs) trained, as discussed in the episode 670: LLaMA: GPT-3 performance, 10x smaller — with Jon Krohn (@JonKrohnLearns) and the clip Llama Model Insights?

Which model of large language model (LLM) is discussed in the episode 806: Llama 3.1 405B: The First Open-Source Frontier LLM — with Jon Krohn (@JonKrohnLearns) and the clip Llama 3.1 Insights?