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| | isthisit.nz
Prompting GPT Models to Return JSON
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| | August 2024 Update: Now a solved problem. Use Structured Outputs. Large language models (LLMs) return unstructured output. When we prompt them they respond with one large string. This is fine for applications such as ChatGPT, but in others where we want the LLM to return structured data such as lists or key value pairs, a parseable response is needed. In Building A ChatGPT-enhanced Python REPL I used a technique to prompt the LLM to return output in a text format I could parse.
| | blog.mozilla.ai
Introducing any-llm: A unified API to access any LLM provider
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| | When it comes to using LLMs, it's not always a question of which model to use: it's also a matter of choosing who provides the LLM and where it is deployed. Today, we announce the release of any-llm, a Python library that provides a simple unified interface to access the most popular providers.
| | blog.adnansiddiqi.me
Introduction to LLM | Adnan's Random bytes
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| | Learn the basics of Large Language Models (LLMs) in this introduction to GenAI series. Discover how LLMs work, their architecture, and practical applications like customer support, content creation, and software development.
| | www.index.dev
Understand all the LLM Models in this Guide
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| Learn all about Large Language Models (LLMs) in our comprehensive guide. Understand their capabilities, applications, and impact on various industries.