Parrot: Optimizing End-to-End Performance in LLM Applications via Semantic Variables
Large Language Models (LLMs) possess advanced language understanding, enabling a shift in application development where ai agents communicate with LLMs ...
Large Language Models (LLMs) possess advanced language understanding, enabling a shift in application development where ai agents communicate with LLMs ...
Llama is Meta ai’s large language model (LLM), with variants ranging from 7 billion to 70 billion parameters. Llama uses ...
Image by author Due to the popularity of the blog 7 End-to-End MLOps Platforms You Should Try in 2024, I ...
Image by author Have you ever felt that there are too many tools for MLOps? There is a tool for ...
This tutorial explains how to create a containerized sentiment analysis API using Hugging Face, FastAPI, and Docker.Photo by Joshua Hoehne ...
A complete list of technologies for the best performance/wattstThe most commonly used metric to define ai performance is TOP (Tera ...
Introduction In the past, Generative ai has captured the market, and as a result, we now have various models with ...
Existing web agents face limitations that arise from the fact that these agents often rely on a single input modality ...
Recent advances in deep learning and automatic speech recognition (ASR) have enabled end-to-end (E2E) ASR and increased its accuracy to ...
Recent advances in deep learning and automatic speech recognition have raised the accuracy of end-to-end speech recognition to a new ...