Tag

#large-language-models

4 posts

LLM & IntegrationMarch 8, 20269 min
GLM-4.7 Deep Dive: 358B MoE, 200K Context, $0.60/M Tokens
Zhipu AI's GLM-4.7 explained: 358B MoE architecture, 200K-token context, multimodal inputs, and $0.60 in / $2.20 out per million tokens on Z.ai.
LLM & IntegrationMarch 2, 202611 min
LM Studio 2026: Run Local LLMs With GPU Acceleration
LM Studio runs open-source LLMs locally on Windows, Mac (Apple Silicon), and Linux. Setup, GPU (CUDA/Metal/Vulkan/ROCm), model picks, and RAG in one guide.
LLM & IntegrationSeptember 23, 20257 min
Mastering Fine-Tuning of Large Language Models: From Basics to Advanced Techniques
Fine-tuning LLMs in 2026: LoRA, QLoRA, adapters, PEFT, evaluation, and the data-prep pipeline that decides whether fine-tuning actually helps your domain.
AI & Machine LearningSeptember 22, 20258 min
AI’s Big Leap: From Generative Models to Voice Tech
AI's big leap in 2026: from generative text and image models to voice tech, multimodal reasoning, and the breakthroughs now shipping in Veo 3 and Gemini.

Every post in #large-language-models (4)

GLM-4.7 Deep Dive: 358B MoE, 200K Context, $0.60/M Tokens