Feb 21, 12:34 AM

AbacusAI Introduces Cost-Effective LLM Fine-Tunes API Matching GPT-4 Performance with Smaug-72B, Innovations, Speculative Streaming, and Cascade Speculative Drafting

Several researchers and companies are focusing on improving Large Language Models (LLMs) for Artificial Intelligence, Deep Learning, and Machine Learning applications. AbacusAI introduces an LLM Fine-Tunes inference API that is cost-effective and matches the performance of GPT-4. Smaug-72B from AbacusAI is highlighted for its efficiency in LLM inference. Innovations in improving open-source LLMs include quality data, few-shot prompting, stacking, and merging. Various techniques like Speculative Streaming and Cascade Speculative Drafting are being explored for faster LLM inference.

#Large Language Models #Artificial Intelligence #Deep Learning #Machine Learning #AbacusAI #Speculative Streaming #Cascade Speculative Drafting

Written with ChatGPT (GPT-3).