The rapid evolution of Large Language Models (LLMs) like GPT-4 has reshaped natural language processing. Papers and models such as LongAlign aim to effectively handle long contexts, outperforming existing LLM recipes by up to 30%. Training strategies and evaluation methods are being introduced to support LongAlign. Nomic Embeddings and Mistral are being used to expand the context window of open source LLMs and embedding models, challenging the relatively small context window of proprietary models. Apple has presented a paper on the ability of LLMs to understand context, emphasizing its importance in understanding human language.
Apple presents Can Large Language Models Understand Context? paper page: https://t.co/crTVjlNdbK Understanding context is key to understanding human language, an ability which Large Language Models (LLMs) have been increasingly seen to demonstrate to an impressive extent.… https://t.co/UOk0Xc6lC6
Build Long-context RAG from scratch: Nomic Embeddings + Mistral The context window of open source LLMs and embedding models has been relatively small vs proprietary models. But, methods to expand context window (RoPE, self-extend) are quickly changing this. Today, @nomic_ai has… https://t.co/jm1DlnDjlk
LongAlign - A recipe for long context alignment of LLM introduced by @thukeg 🔥 ✨ With LongAlign-10k dataset to support ✨ Outperforms existing LLM recipes by up to 30%, while maintaining the ability to handle short, general tasks Model https://t.co/xoaHqRaH1K Paper…
LongAlign - A recipe for long context alignment introduced by @thukeg 🔥 ✨ With LongAlign-10k dataset to support ✨ Outperforms existing LLM recipes by up to 30%, while maintaining the ability to handle short, general tasks Model https://t.co/xoaHqRaH1K Paper…
LongAlign - A recipe for long context alignment introduced by @thukeg 🔥 ✨ With LongAlign-10k dataset to support ✨ Outperforms existing LLM recipes by up to 30%, while maintaining the ability to handle short, general tasks Paper https://t.co/s1OXrhFtyU Dataset…
LongAlign - A recipe for long context alignment introduced by @thukeg 🔥 ✨ With LongAlign-10k dataset to support ✨ Evaluate the ability to follow instructions in queries from 10k to 100k in length using LongBench-Chat ✨ Outperforms existing LLM recipes by up to 30%, while…
LongAlign - A recipe for long context alignment introduced by @thukeg 🔥 ✨ With LongAlign-10k dataset to support ✨ Implement training strategies such as packing (with loss weighting) and sorting batches in code ✨ Evaluate the ability to follow instructions in queries from…
LongAlign A Recipe for Long Context Alignment of Large Language Models paper page: https://t.co/k0hFuAKLc2 Extending large language models to effectively handle long contexts requires instruction fine-tuning on input sequences of similar length. To address this, we present… https://t.co/3kIdTGivHA
Scavenging Hyena Distilling Transformers into Long Convolution Models paper page: https://t.co/IuMO8EhdOc The rapid evolution of Large Language Models (LLMs), epitomized by architectures like GPT-4, has reshaped the landscape of natural language processing. This paper… https://t.co/f3KulihbYJ
To help you get the most from generative #AI and clarify how Large Language Models work, we’ve summed up three analogies for predictions, language comprehension, and data. Check it out: https://t.co/L3Yvpkg7OE #LLM #GenAI https://t.co/WHIREI0sov