Shittu Olumide

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This article explains five distinct techniques for fine-tuning LLMs cheaply, from parameter-efficient methods like LoRA and QLoRA through faster training tooling, cheaper alignment objectives, and the infrastructure decisions that quietly double most people's bills.

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In this article, you will learn what DiffusionGemma is, how its diffusion-based text generation differs from standard autoregressive language models, and how to run it with Hugging Face Transformers and vLLM.

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Build a local multi-agent travel planner with Hermes Agent and Ollama: a coordinator and three specialist agents that research destinations, suggest stays, and generate real Google Flights search links.

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In the article, we will take a look at 7 open small specialist models, each under 10 billion parameters, that go head to head with much bigger systems on one task. Every model had to meet four rules: open weights, one clear job, published proof against something much bigger, and

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Vibe coding is a genuinely new way of building software, it's a workflow where you describe what you want in natural language and let an AI agent handle code generation, execution, and iteration rather than typing every line yourself.

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A local language model is one whose actual weights, the enormous file of learned numbers that constitutes the trained model, you download and run entirely on your own hardware.

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Gemini Omni is the newest member of Google's Gemini generative model family, it's built specifically to create output from any combination of input types, starting with video. You can feed it images, audio, video, and text together, and it generates a video grounded in Gemini's b

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Google Research has open-sourced Harness² (Harness2), a framework that lets AI agents improve themselves without retraining the underlying model. Instead of touching model weights, Harness² rewrites the harness around the model: its prompts, tools, memory, skills, and scripts.

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Claude Haiku 5.5 cuts list prices by 90% and adds adaptive thinking and a 1M token context window. Learn what broke from Haiku 4.5, and build classification, extraction, and sub-agent workflows in Python using the new API.

🌐 machinelearningmastery.comSource

Run this on a typical laptop and both systems will report latencies in the low single-digit to tens of milliseconds range, with the exact numbers depending heavily on your CPU, available RAM, and whatever else is running on your machine at the time.