Jlama: A Native Java LLM Inference Engine
Explore JLama, a cutting-edge inference engine designed to empower Java developers with native AI capabilities. Discover how this innovative tool brings the power of large language models directly into the Java ecosystem without the need for GPUs. Learn…
Running Open Large Language Models in Production with Ollama and Serverless GPUs
Explore the deployment of open large language models in production environments using Ollama and serverless GPUs. Learn why companies are increasingly interested in running open models like Gemma and Llama, which offer full control over deployment, model…
Personal AI Code Assistant with Gemma - Build Your Own Independent AI Server
Discover how to create and utilize a Personal AI Code Assistant using Gemma, Google's AI model, for independent coding support within Visual Studio Code. Explore project extensions and adaptations.
What's New in Gemma 2: Empowering AI Development
Discover the latest innovations in Gemma 2, Google's open AI model, and learn how to leverage its capabilities for responsible AI development and research.
Fine-tuning Gemma for Non-English Languages
Dive into Gemma post-training techniques and explore adaptation strategies for non-English languages, enhancing multilingual AI capabilities.
Ubuntu y la Revolución de la IA - Modelos al Alcance de Todos
Explora modelos de IA open source como Gemma de Google, sus características y aplicaciones. Descubre cómo transformar tus proyectos con estas herramientas accesibles para desarrolladores y entusiastas tecnológicos.
On-Device LLMs with Functional Token Fine-Tuning - Octopus v2 Implementation
Explore cutting-edge developments in on-device LLMs, focusing on functional token fine-tuning and Octopus v2 technology for enhanced efficiency and performance on edge devices.
GGUF Quantization of Large Language Models Using LLAMA.cpp
Master GGUF quantization techniques to run large language models efficiently on personal devices using LLAMA.cpp, enabling GPU-free inference and deployment on laptops, phones, and watches.
Fine-tuning Gemma Models with PEFT and LoRA Using HuggingFace Datasets
Master parameter-efficient fine-tuning techniques for Gemma 2B model using PEFT and LoRA, with hands-on code implementation and custom dataset creation for optimized model training.
Tuning Gemma for a Spoken Language AI Assistant - Build with Google AI
Explore creating a multilingual AI assistant using Gemma. Learn to tune models for specific tasks and languages, with insights from developers and practical extension tips.
Fine-tuning LLMs 30x Faster - Unsloth AI's Approach
Discover techniques to accelerate LLM fine-tuning 30x with Daniel Han from Unsloth AI. Explore bug-hunting processes, optimization strategies, and insights into ML research reproducibility.
Machine Learning News: Gemma, Gemini, Groq, Sora, and AI Developments
Explore latest ML developments: Gemma, Groq, Sora, Gemini updates. Dive into hardware advancements, AI ethics, and amusing incidents. Stay informed on cutting-edge AI progress and industry news.
Claude 3 vs ChatGPT in Street Fighter - AI Model Tournament
Explore AI-powered Street Fighter battles, pitting Claude 3 against ChatGPT and local 7B models. Learn installation, strategy creation, and API integration for this unique evaluation project.
Introducing Gemma - Google's Family of Open AI Models
Explore Gemma, Google's open AI models, with Tris Warkentin. Learn about its capabilities, responsible AI measures, and potential impact on developers. Discover Tris's journey from tech writing to AI product management.
Creating, Building, and Releasing Gemma - Google's Open Model Family
Explore Gemma, Google's open model family, with engineer Kathleen Kenealy. Discover the journey from concept to release, the importance of open technology, and the future of AI development.
AI News Roundup: Grok-1, Nvidia GTC, OpenAI Leaks, and EU AI Act
Explore the latest AI developments: Grok-1 open-source release, Nvidia's new chips, OpenAI leaks, EU AI Act progress, robotics advancements, and more in this comprehensive update on the rapidly evolving field of artificial intelligence.
Business Email AI Assistant with Gemma - Build with Google AI
Explore a Business Email AI Assistant using Google's Gemma models to extract data from customer emails, with demos, builder insights, and adaptation tips.
Machine Learning Software Ecosystems: Frameworks, Compilers, and Models - Part 1
Explore the landscape of ML frameworks, compilers, and models while understanding performance considerations for various hardware platforms and edge computing requirements.
Gemma 2 2B: Performance and Safety Testing of DeepMind's New Small Language Model
Explore DeepMind's Gemma 2 2B: capabilities, safety features, and real-world performance in this comprehensive analysis of the latest small language model.
Google Gemma 2 2B: Introduction and Free Access Methods
Explore Google's new Gemma 2 2B model: features, access methods, and potential applications in AI development.
Comparing AI Data Integration Methods: Long Context Windows, RAG, and Model Tuning
Explore the key differences between long context windows, RAG, and model tuning for AI applications, understanding when and how to implement each approach effectively.