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www.promptingguide.ai
| | isthisit.nz
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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.
| | ollama.com
1.5 parsecs away

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| | Ollama now supports tool calling with popular models such as Llama 3.1. This enables a model to answer a given prompt using tool(s) it knows about, making it possible for models to perform more complex tasks or interact with the outside world.
| | ollama.com
2.7 parsecs away

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| | Ollama now supports streaming responses with tool calling. This enables all chat applications to stream content and also call tools in real time.
| | simonwillison.net
24.7 parsecs away

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| OpenAI promised this at DevDay a few weeks ago and now it's here: their Chat Completion API can now accept audio as input and return it as output. OpenAI still ...