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Browsing: LLM
A Coding Implementation to Automating LLM Quality Assurance with DeepEval, Custom Retrievers, and LLM-as-a-Judge Metrics
We initiate this tutorial by configuring a high-performance evaluation environment, specifically focused on integrating the DeepEval framework to bring unit-testing rigor to our LLM applications. By…
Raspberry Pi 5 gets AI HAT+ 2 with LLM and VLM support, finally running generative AI entirely on-device
Raspberry Pi AI HAT+ 2 allows Raspberry Pi 5 to run LLMs locallyHailo-10H accelerator delivers 40 TOPS of INT4 inference powerPCIe interface enables high-bandwidth communication between…
How to Design a Fully Streaming Voice Agent with End-to-End Latency Budgets, Incremental ASR, LLM Streaming, and Real-Time TTS
In this tutorial, we build an end-to-end streaming voice agent that mirrors how modern low-latency conversational systems operate in real time. We simulate the complete pipeline,…
We interact with LLMs every day. We write prompts, paste documents, continue long conversations, and expect the model to remember what we said earlier. When it…
LLMs like ChatGPT, Claude, and Gemini, are often considered intelligent because they seem to recall past conversations. The model acts as if it got the point,…
How to Build a Multi-Turn Crescendo Red-Teaming Pipeline to Evaluate and Stress-Test LLM Safety Using Garak
In this tutorial, we build an advanced, multi-turn crescendo-style red-teaming harness using Garak to evaluate how large language models behave under gradual conversational pressure. We implement…
If you are searching for free LLM APIs, chances are you already want to build something with AI. A chatbot. A coding assistant. A data analysis workflow.…
How do you design an LLM agent that decides for itself what to store in long term memory, what to keep in short term context and…
Accelerating LLM inference with post-training weight and activation using AWQ and GPTQ on Amazon SageMaker AI
Foundation models (FMs) and large language models (LLMs) have been rapidly scaling, often doubling in parameter count within months, leading to significant improvements in language understanding…
Zlab Princeton researchers have released LLM-Pruning Collection, a JAX based repository that consolidates major pruning algorithms for large language models into a single, reproducible framework. It…
