A guide on using Ollama's Modelfile to create and deploy a custom large language model (LLM) for specific tasks, like an API security assistant.
Key takeaways from the AI Engineer Summit 2023, focusing on challenges in LLM deployment like evaluation methods and serving costs.
A guide to using Ollama, an open-source CLI tool for running and customizing large language models like Llama 2 locally on your own machine.
An in-depth exploration of Large Multimodal Models (LMMs), covering their fundamentals, key architectures like CLIP and Flamingo, and current research directions.
A summary of a keynote talk on essential building blocks for production LLM systems, covering evaluations, RAG, and guardrails.
A developer's weekly learning log covering Azure Machine Learning, Prompt Flow, Microsoft Fabric, Copilot, and an LLM hallucination paper.
Explains why traditional debugging fails for LLMs and advocates for observability-driven development to manage their non-deterministic nature in production.
Strategies for improving LLM performance through dataset-centric fine-tuning, focusing on instruction datasets rather than model architecture changes.
Explores dataset-centric strategies for fine-tuning LLMs, focusing on instruction datasets to improve model performance without altering architecture.
A technical guide on using an LLM (Platypus2) with LangChain and pgvector to analyze YouTube's Procella database paper.
A guide to using GPTQ quantization with Hugging Face Optimum to compress open-source LLMs for efficient deployment on smaller hardware.
A critical analysis of the machine learning bubble, arguing its lasting impact will be a proliferation of low-quality, automated content and services, not true AGI.
A developer's weekly learning log covering Power BI data refresh, LLM architectures, Azure OpenAI costs, AI news, Python in Excel, and Azure SQL updates.
A guide to participating in the NeurIPS 2023 LLM Efficiency Challenge, focusing on efficient fine-tuning of large language models on a single GPU.
Introduces EasyLLM, an open-source Python package for streamlining work with open large language models via OpenAI-compatible clients.
A developer shares two summer side projects: an academic paper digest app and a movie selection tool for groups, built to solve personal problems.
Weekly tech digest covering Azure OpenAI architecture, vector databases, AI anomaly detection, and an LLM self-cloning article.
A practical guide outlining seven key patterns for integrating Large Language Models (LLMs) into robust, production-ready systems and products.
Weekly tech roundup covering major Microsoft AI announcements: Bing Chat Enterprise, Microsoft 365 Copilot pricing, Azure AI updates, and new LLM architectures.
A guide on configuring LangChain to connect to and use Azure OpenAI services in Python, covering setup, authentication, and examples.
