KaniTTS2: Fast Local Text-to-Speech with Cloning
KaniTTS2 provides a fast, locally-run text-to-speech system with voice cloning capabilities, enabling users to generate natural-sounding speech from text while
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KaniTTS2 provides a fast, locally-run text-to-speech system with voice cloning capabilities, enabling users to generate natural-sounding speech from text while
The article explains how to run Qwen's massive 397 billion parameter language model on local hardware using quantization techniques to reduce memory
AdaLLM enables genuine 4-bit floating-point inference on RTX 4090 GPUs without reverting to 16-bit precision, delivering faster and more memory-efficient large
A chatbot framework originally written in another language has been completely rewritten in Rust, resulting in a remarkably compact 10MB binary that
Nvidia introduces Dynamic Memory Scheduling that reduces large language model memory consumption by eight times, enabling more efficient AI inference and
Unsloth Kernels achieves 12x faster Mixture of Experts model training while using only 12GB of VRAM through optimized kernel implementations and memory
Benchmark Models in Transformers for Real Speed explores performance testing methodologies and evaluation techniques for transformer architectures, comparing
ktop is a unified monitoring tool that provides real-time visibility into both GPU and CPU performance metrics for hybrid workloads running across
llama.cpp now includes complete Model Context Protocol support, enabling developers to use tools and a user interface for enhanced local language model
Unsloth Kernels enables efficient fine-tuning of 30 billion parameter Mixture of Experts models on consumer-grade GPUs through optimized memory management and
A developer compares building a Telegram bot in Rust versus Python, showing how the Rust version achieves a 10MB binary size compared to Python's 350MB
Users must convert new llama.cpp models to GGUF format through quantization processes before they can be used with the llama.cpp inference engine for local
This article explores running the 80 billion parameter language model on AMD's Strix Halo APU using llama.cpp, demonstrating local AI inference capabilities on
FiftyOne offers two OCR plugins for text extraction from images: GLM-OCR provides high accuracy with advanced language models while LightOnOCR-2-1B delivers
Concierge provides stage-based tool access control for MCP agents, enabling developers to progressively unlock capabilities as agents advance through defined
A developer in Burma demonstrates how to run 16-billion parameter AI language models on affordable consumer laptops using quantization techniques and optimized
This article examines abliteration techniques for removing safety filters from local language models, comparing different methods for uncensoring AI responses
Claude Team members share how parallel Git worktrees enable them to work on multiple branches simultaneously, switching contexts faster and boosting
Claude Code includes a hidden hook system that automatically runs linting tools on code changes, helping developers maintain code quality and catch errors
A practical guide exploring how to use Claude.md files to maintain consistent AI coding assistance across monorepo workspaces, reducing context pollution and
Step-3.5-Flash, an 11-billion parameter model, demonstrates superior performance compared to DeepSeek v3.2 in coding tasks, marking a significant advancement
Concierge provides a stateful workflow framework for Model Context Protocol tool agents, enabling complex multi-step task automation with state management and
Maestro enables developers to orchestrate and run multiple Claude AI coding sessions simultaneously in parallel, streamlining complex development workflows and
Exploring how Claude can learn to generate and follow its own coding standards and best practices through iterative feedback and self-improvement techniques.
Claude Code's new lazy-loading Model Context Protocol reduces token usage by 85% through on-demand resource fetching, enabling developers to work with larger
Learn how adjusting batch size parameters in llama-server can significantly improve inference speed and throughput for large language model deployments and
Claude Code employs a sophisticated hidden hooks system that allows developers to intercept and modify code execution flow through strategically placed
Jan v3 4B is a compact language model that demonstrates strong performance in mathematical reasoning and code generation tasks despite its smaller parameter
DeepSeek's FlashMLA introduces tunable performance parameters that allow developers to optimize multi-head latent attention mechanisms by adjusting
This article explores how developers built a cooking game using three specialized AI tools: one for recipe generation, one for visual asset creation, and one
Qwen3-TTS offers a fast, locally-run text-to-speech solution that serves as an alternative to ElevenLabs, providing high-quality voice synthesis without cloud
Unsloth accelerates embedding model fine-tuning by three times through optimized training techniques, enabling faster development of custom text embeddings for
Claude Code Status Bar is a development tool that displays real-time context usage metrics and token consumption directly in the editor's status bar for
Discover how two powerful command-line interfaces enable non-developers to build and deploy applications without coding experience, streamlining the app
This article explains how researchers achieved training 20 billion parameter language models with seven times longer context windows using only 24GB GPUs
Claude Skill Auto-Generates Full App Codebases is an AI-powered tool that creates complete application code from natural language descriptions, streamlining
NeuTTS Nano is a compact 120-million parameter text-to-speech model optimized to run efficiently on resource-constrained devices like Raspberry Pi, delivering
Unsloth introduces optimized AI training techniques that enable models to handle context windows seven times longer than standard methods while using only a
Vercel introduces Agent-Browser CLI, a new tool that significantly reduces AI token consumption compared to traditional browser automation frameworks like
Researchers demonstrate running 120-billion parameter AI models across networked mini PCs using distributed computing techniques, making large language models
Developers face familiar barriers as AI coding tools encounter the same restrictive corporate policies that previously blocked IDEs and Stack Overflow access
MLX Bridge enables developers to prototype and fine-tune machine learning models on Mac devices using Apple Silicon, then seamlessly deploy the optimized
DeepSeek unveils its latest flagship AI model featuring enhanced coding capabilities, positioning itself as a competitive alternative in the rapidly evolving
The NCCL Plugin for Multi-Subnet RDMA Triangle Mesh enables high-performance GPU communication across multiple network subnets using Remote Direct Memory
A comprehensive guide to deploying DeepSeek V3 language model on a budget-friendly cluster of 16 AMD MI50 GPUs, covering hardware setup, software
The paper presents DTS, a method using parallel beam search to efficiently optimize dialogue strategies by exploring multiple conversation paths simultaneously
OpenAI-to-Claude API Wrapper enables seamless tool compatibility by translating OpenAI API calls to work with Claude's API, allowing developers to switch
NousResearch enhances Qwen3-14B's coding performance to achieve 68% pass@1 rate through advanced fine-tuning techniques and optimization strategies for
ik_llama.cpp delivers breakthrough multi-GPU performance for large language models, enabling efficient parallel processing across multiple graphics cards for
The iOS Dev Starter Kit for Claude Code with MCP provides developers with essential tools and configurations to streamline iOS application development through
Anthropic has released a free comprehensive coding course that teaches developers how to build applications using Claude AI, covering prompting techniques, API
A developer with no coding experience collaborates with Claude AI to build a functional Winamp-style music visualizer, demonstrating how AI assistants can
Maincoder-1B achieves 76% on HumanEval with just 1 billion parameters, demonstrating exceptional code generation efficiency in a compact model architecture.
A game developer with no coding experience used Claude AI to build a complete real-time strategy game in Unreal Engine 5, demonstrating how AI assistance
A practical framework that helps developers and organizations select the most appropriate large language model based on available hardware resources, memory
The Kimi-Linear Q2_K quantization issue in llama.cpp has been resolved, fixing model loading and inference problems for users running Kimi models with 2-bit
SWE-rebench is a real-world coding benchmark that evaluates large language models on their ability to solve authentic software engineering tasks from
AudioGhost enables running Meta's SAM-Audio model on 4GB GPUs through memory optimization techniques, making advanced audio segmentation accessible on consumer
GLM-4 9B GGUF quantization is currently underway, converting the model into optimized GGUF format for efficient local deployment and reduced memory usage.
A teenage developer created a platform that attracted 50,000 users using only 10 lines of code, demonstrating how minimal code can achieve maximum impact
An article examining how AI coding tools rapidly become obsolete, with new versions and competitors emerging so quickly that today's cutting-edge solutions are
Google releases Gemma Scope 2, an advanced interpretability tool that helps researchers understand and analyze the internal workings of AI language models
Vibe and Claude Code achieve nearly identical performance on the SWE-Bench coding benchmark, demonstrating comparable capabilities in solving real-world
FlashHead accelerates large language model inference by up to four times using an information retrieval-based attention head mechanism that reduces
NVIDIA Model Optimizer converts FP16/FP32 models to INT8/INT4 for faster inference without retraining, using post-training quantization techniques.
Claude Code supports custom hooks that run before commits, enabling automatic secret scanning and code quality checks without manual intervention.
Security researchers demonstrate exploiting ClickHouse's PostgreSQL integration to chain Server-Side Request Forgery vulnerabilities with Remote Code Execution
Mozilla engineers describe the technical process and challenges of converting the Firefox HTML5 parser from Java to C++ to improve browser performance and
Learn how to debug LangChain agents using the LangSmith CLI tool to trace execution, inspect intermediate steps, and identify errors in agent workflows
FunctionGemma is a lightweight API automation framework designed for edge computing environments, enabling efficient function execution and API orchestration
NCCL Inspector monitors and troubleshoots distributed deep learning training by analyzing NCCL communication patterns, detecting bottlenecks, and providing
Explores techniques for reducing CUDA binary size by consolidating multiple similar kernels into parameterized versions, decreasing compilation time and
Claude Code enables developers to build browser applications through voice commands, converting spoken instructions into functional code using AI-powered
A developer creates a local LLM-powered system that filters Gmail messages and sends notifications only for important emails, reducing notification fatigue
Researchers demonstrate how students can train state-of-the-art code generation models on single consumer GPUs using novel optimization techniques and
This guide explores how to build cost-effective enterprise-grade AI workstations using consumer hardware components, covering GPU selection, system