Intelligence is more than just a buzzword; it's a revolutionary technology changing how we work, live, and interact. With the explosion of data and the need to make sense of it, the demand for AI skills is skyrocketing in so many fields. There's no better time than now to start ...
Backend API: Set up a backend server that runs LLAMA3 and exposes its functionalities through an API. Mobile App: Develop a mobile app using frameworks like React Native, Flutter, or native Android/iOS development. The app can make API calls to your backend server to interact with LLAMA3. ...
.handle() returns a CompletableFuture so you can continue chaining or .join() to get the result:Java Copy Code CompletableFuture<String> msgFuture = makeApiRequestThenStoreResult(MY_CELLPHONE_NUMBER); msgFuture.handle((s, ex) ->{ if (ex != null){ return "Failed: " + ex.getMessage...
If you want to track and monitor your API calls for debugging or performance purposes, OpenAI has a cool feature calledLangSmith. It gives you detailed logs of every API call made by your model, which can be super helpful if you're trying to optimize or troubleshoot your workflow. ...
We will use LangChain to create a sample RAG application and the RAGAS framework for evaluation. RAGAS is open-source, has out-of-the-box support for all the above metrics, supports custom evaluation prompts, and has integrations with frameworks such as LangChain, LlamaIndex, and observability...
engine: The engine used for OpenAI API calls. model: The model used for OpenAI API calls. system_content: The content of the system message used for OpenAI API calls. max_retries: The maximum number of retries for OpenAI API calls. timeout: The timeout in seconds. debug: When debug is...
You can consume Mistral models by using the chat API. In theworkspace, selectEndpoints>Serverless endpoints. Find and select the deployment you created. Copy theTargetURL and theKeytoken values. Make an API request using to either theAzure AI Model Inference APIon the route/chat/completionsand ...
Before you pass extra parameters to the Azure AI model inference API, make sure your model supports those extra parameters. When the request is made to the underlying model, the headerextra-parametersis passed to the model with the valuepass-through. This value tells the endpoint to pass the...
Heck, even consumer laptops have started featuring an entirely new type of processing unit called NPU to provide superior performance on every AI-related task. But what if you could run generative AI models locally on a tiny SBC? Turns out, you can configure Ollama’s API to run pretty ...
With function calls, you can trigger third-party API requests based on conversational cues. This can be very useful for a weather chatbot or a stock chatbot. Finally, consider setting up automated response workflows to streamline and lock in chatbot responses in advance to align with your ...