
Recent developments in the field of artificial intelligence have seen small language models (SLMs) challenging the dominance of larger models like GPT3 and GPT4. Studies have shown that pre-training 1.58-bit SLMs can match the performance of FP16 models, indicating a potential paradigm shift in the industry. The competition between large language models (LLMs) and advanced LLMs is raising questions about the necessity of category fine-tuning and the future of AI.
Super nice high-level overview of what goes into training LLMs nowadays https://t.co/uYxecJMpWU
Enhancing business writing with #AI: #LLMs offer varied improvements, highlighting the challenge of data quality and the journey towards effective AI assistance.📝 #ArtificialIntelligence #Data #Technology https://t.co/ddl54Dou0k
I've met with some pretty impressive AI legal startups Large-scale document review, analysis, and even redlining is a great use case Getting this 95%-98% right across 10,000's of docs is much better than barely reviewing them properly However ... however ... Every larger,…




