15 items tagged “LLM” across every source.
CodedigiptDeepSeek V4.1 Flash is a massive 552B-parameter AI model with just 8B–16B active parameters, native multimodal capabilities, and a 1M-token context window. In this video, we break down how DeepSeek achieves this extreme efficiency and what makes V4.1 Flash so powerful. ====
CodedigiptMeet MiniCPM5-2B, a compact 2.5B-parameter AI model designed for coding, reasoning, agentic tasks, and long-context applications. In this video, we test its capabilities and see how a tiny model performs against much larger AI models. ================================ Subscr
CodedigiptAccording to The Information, Nvidia has agreed to acquire Hugging Face for approximately $12.9 billion. ============================================= Follow on twitter : https://x.com/Codedigipt Follow Codedigipt channel on WhatsApp: https://whatsapp.com/channel/0029Vb8SzEP
CodedigiptQwen3.8-Flash-Next is a groundbreaking 125B-parameter AI model with just 6B active parameters per token. With 1M-token context, powerful coding and agent capabilities, and an architecture designed as a preview of Qwen4, this could be a major step forward for efficient AI. =
CodedigiptGLM-5.3-Flash is here, and it’s built for more intelligence with less compute. With 320B total parameters, just 18B active, hybrid attention, mHC, and 30T-token multimodal training, this model could be a serious AI contender. ============================================= Fo
CodedigiptApodex 1.1 is a powerful new AI agent designed to do more than just answer questions. In this video, we test its research, reasoning, coding, tool-use, and autonomous agent capabilities to see if it can actually do the work. ============================================= Fol
CodedigiptMiniMax M3 is here, bringing a massive 1 million token context window, native multimodal capabilities, and a new Sparse Attention architecture designed for coding and AI agents. In this video, we'll break down what makes M3 special, how it compares to GPT-5.5, Claude Opus 4.8, De
CodedigiptGLM-5.3 is Z.ai’s latest open-weights AI model, built for advanced coding, long-horizon tasks, and cybersecurity. It achieved major gains over GLM-5.2 and identified 2,436 vulnerabilities across 269 projects. Is this the new open-source AI powerhouse? =====================
CodedigiptDeepSeek V4 Pro is here! Explore DeepSeek’s powerful new AI model, featuring advanced reasoning, coding, agentic capabilities, and a massive 1M-token context window. See what makes V4 Pro a serious competitor to GPT, Claude, and Gemini. =====================================
CodedigiptDeepSeek Harness is an open-source AI agent framework from DeepSeek AI. In this video, we’ll quickly explore how its plugin-based architecture works and how it can be used to build powerful, customizable AI agents. ============================================= Follow on twit
CodedigiptNVIDIA Nemotron 3.5 Lightning is a powerful 30B-parameter AI model designed for ultra-fast, efficient agentic tasks—with only ~3B parameters active per token. In this video, we explore its architecture, capabilities, performance, and why NVIDIA’s new approach could change how AI
CodedigiptPokee-Isaac 28B is a new AI model built for coding, AI agents, and ultra-long context tasks. In this video, we test its real-world performance, explore its key features, compare it with DeepSeek V4 Flash, and see whether it lives up to the hype. ============================
CodedigiptDiscover an open-source GitHub project that equips AI assistants with structured security workflows, automation, and expert techniques. In this video, we explore what it is, how it works, and why it's gaining attention. ============================================= Follow o
CodedigiptQwen 3.8-Max is Alibaba's latest flagship AI model, capable of reproducing research papers, improving published methods, and performing production-level work across hundreds of professions. In this video, we explore its breakthrough capabilities, real-world benchmarks, and why it
CodedigiptKimi-K3-0.40B is a miniature version of the Kimi-K3 architecture designed for developers and researchers. In this video, we'll explore what it is, why it exists, how it differs from the full Kimi-K3 model, and how you can run it locally for learning, testing, and AI development.