Breaking that down: llm: this is the language model, at the moment needs to be an @OpenAI Chat model prompt: this is the prompt template to use. Generally should be a list of message templates this is pretty standard, nothing new so far
CODE
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Function Call OutputParser for API Response Handling
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When doing this, the `content` field on the response message will be blank The real response is in the `function_call` section To make it easier to use that information, we've added an OutputParser than picks out that information
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Creating LLM Chains with LangChain Method Pattern
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Let's put it all together! We've created (with the help of @fpingham and @jxnlco
) a few chains using this method. All follow the same pattern: “`
chain = LLMChain( llm=llm, prompt=prompt, llm_kwargs=llm_kwargs, output_parser=output_parser,
)
“` -
Force AI Function Output Format with function_call Parameter
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You can do this by not only passing in `functions` parameter, but also passing in the `function_call` parameter The `function_call` parameter forces it to respond using a particular function – allowing you to guarantee the output in a specific format
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Using Functions to Structure LLM Output Chains
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Using `functions` to structure output We're starting to add more chains that rely on functions to structure output Here's a quick overview of how we're doing that, which chains we've added so far, how to contribute, and additional resources
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Functions Structure ChatGPT Output for Better Agent Integration
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Although we first incorporated `functions` into agents, an almost more important ability of `functions` is to structure output from ChatGPT This is extremely useful when you want to use the output of ChatGPT in a particular way
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Setting Up Model Repositories on Hugging Face Hub
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Happy to help y’all setup your model repos on Hugging Face Hub I think the community will really benefit from this!
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One More Fine-Tuning Run in Progress
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Okay, one more fine-tuning run! https://
wandb.ai/vaibhavs10/IMS
-Toucan/runs/1pwzx4t7?workspace=user-vaibhavs10
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Robot Learning with Sensorimotor Pre-training Using Transformer
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Robot Learning with Sensorimotor Pre-training
— AK (@_akhaliq) 19 juin 2023
paper page: https://t.co/JNC4XuEu2f
present a self-supervised sensorimotor pre-training approach for robotics. Our model, called RPT, is a Transformer that operates on sequences of sensorimotor tokens. Given a sequence of camera… pic.twitter.com/DdW8qWTcDPRobot Learning with Sensorimotor Pre-training paper page: https://
huggingface.co/papers/2306.10
007
… present a self-supervised sensorimotor pre-training approach for robotics. Our model, called RPT, is a Transformer that operates on sequences of sensorimotor tokens. Given a sequence of camera -
Learning Julia with TidyTuesday and Tidier.jl
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Learning Julia with #TidyTuesday and Tidier.jl | Nicola Rennie https://
bit.ly/3CAFGOC #AI #MachineLearning #DeepLearning #LLMs #DataScience