The local-llm-function-calling project is designed to constrain the generation of Hugging Face text generation models by enforcing a JSON schema and facilitating the formulation of prompts for function calls, similar to OpenAI's function calling feature, but actually enforcing the schema unlike OpenAI...
promptic is a lightweight abstraction layer over litellm and its various LLM providers. As such, there are some provider-specific limitations that are beyond the scope of what the library addresses: Tool/Function Calling: Anthropic (Claude) models currently support only one tool per function Str...
This is where planning comes in. Today's LLM models are capable of iteratively calling functions to solve a user's need. This is accomplished by creating a feedback loop where the AI can call a function, check the result, and then decide what to do next. ...
You can use the helper functions in our Python SDK to create runs and stream responses. We have also added polling SDK helpers to share object status updates without the need for polling. Experiment with Logic Apps and Function Calling using Azure OpenAI Studio. Import your REST APIs ...
To get a look at this in action, watch our good friend Seth Juarez in this Microsoft Mechanics episode, “Build your own copilots with Azure AI Studio,” to see how evaluation is built into the workflow. Calling all retailers! AI-r...
Linux kernel live patching is a way to apply critical and important security patches to a running Linux kernel, without the need to reboot or interrupt runtime.
Deep learning is a subset of machine learning that uses multilayered neural networks, to simulate the complex decision-making power of the human brain.
AI-powered thematic analysis is not just about saving time and resources. By automating the analysis process using AI, LLM, and Generative AI, you can gain a deeper, more nuanced understanding of your customers’ wants, needs, and pain points. With this understanding, you can plan and impleme...
The newest foundation model from Meta has capabilities that are similar to the larger llama-3-405b-instruct model, but is smaller in size and is skilled at coding, step-by-step reasoning, and tool-calling in particular. You can deploy the full model (llama-3-3-70b-instruct-hf) or a ...
Function calling is a feature for developers incorporating generative AI into their applications. It enables them to describe functions of their app or external APIs to GPT-4 Turbo. With the ability to call multiple functions in a single message, this feature streamlines the interaction with the ...