These platforms range from offering AI chatbot services to providing APIs for building custom AI solutions. Depending on what specific features or aspects ofAI工具集 | 700+ AI工具集合官网,国内外AI工具集导航大全you're looking to find similarities with, some of these options may be more relevant ...
Pre-trained large language models (LLMs) offer many capabilities but aren’t universal. When faced with a task beyond their abilities, fine-tuning is an option. This process involves retraining LLMs on new data. While it can be complex and costly, it’s a potent tool for organizations usin...
Integrate the PaLM API with Node.js and the client library This is just the beginning of what you can do with LLMs and APIs. As you continue to explore these technologies, you will discover even more ways to use them to solve problems, create new experiences, and shape the future....
Contributing to This Collection Feel free toopen an issue/PRor e-mailshawnxxh@gmail.com,minglii@umd.edu,hishentao@gmail.comandchongyangtao@gmail.comif you find any missing taxonomies or papers. We will keep updating this collection and survey. 📝 Introduction KD of LLMs: This survey delves ...
🔥 Flexible APIs: Serve LLMs over a RESTful API or gRPC with a single command. You can interact with the model using a Web UI, CLI, Python/JavaScript clients, or any HTTP client of your choice.⛓️ Freedom to build: First-class support for LangChain, BentoML, LlamaIndex, OpenAI ...
With LLM APIs, we can rely on intelligence from a handful of providers. While this is a boon, these dependencies also involve trade-offs on performance, latency, throughput, and cost. Also, as newer, better models drop (almost every month in the past year), we should be prepared to upda...
GPT-3.5 (click the link above for descriptions of all models) allows developers to describe functions to the models, which can then output a JSON object containing arguments to call those functions. This provides a new way for GPT models to connect with external tools and APIs to generate str...
API Integration: If your LLM serves as a language model backend, create RESTful APIs or GraphQL endpoints to allow other software components to interact with the model seamlessly. Scalability and Performance: Design applications to handle different levels of traffic and demand. Optimize for performanc...
Yifan Song, Weimin Xiong, Dawei Zhu, Wenhao Wu, Han Qian, Mingbo Song, Hailiang Huang, Cheng Li, Ke Wang, Rong Yao, Ye Tian, and Sujian Li. Restgpt: Connecting large language models with real-world restful apis, 2023. Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Ma...
In turn, these attempts have uncovered many challenges from sending sensitive data to third-party APIs to the complexity of fine-tuning open-source models and evaluating their output.We paired up with Root Signals to host our own Slush side event to reflect on 2023 and envision 2024 for all ...