BerriAI/litellm - GitHub vs GPT-4

LiteLLM offers a universal solution for integrating various large language model (LLM) APIs into your applications by using a consistent OpenAI format. This tool allows seamless access to multiple providers such as Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, and Replicate, among others, without the need for adapting to each provider's specific API style. LiteLLM's features include input translation to different providers’ endpoints, consistent output formats, common exception mapping, and load balancing for high-volume requests. It supports over 100 LLM APIs, making it an indispensable tool for developers looking to leverage AI language models across different cloud platforms, all with the ease of OpenAI-style API calls.

GPT-4 is the latest milestone in OpenAI’s effort in scaling up deep learning.

GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while less capable than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks. For example, it passes a simulated bar exam with a score around the top 10% of test takers; in contrast, GPT-3.5’s score was around the bottom 10%. We’ve spent 6 months iteratively aligning GPT-4 using lessons from our adversarial testing program as well as ChatGPT, resulting in our best-ever results (though far from perfect) on factuality, steerability, and refusing to go outside of guardrails.

GPT-4 is more creative and collaborative than ever before. It can generate, edit, and iterate with users on creative and technical writing tasks, such as composing songs, writing screenplays, or learning a user’s writing style.