Mixture of Experts — Topic Summaries
AI-powered summaries of 20 videos about Mixture of Experts.
20 summaries
Gemini 1.5 and The Biggest Night in AI
Gemini 1.5 Pro is being positioned as a step-change in long-context AI—able to retrieve and reason over information buried in massive inputs—while...
All You Need To Know About DeepSeek- ChatGPT Killer
DeepSeek is drawing intense attention because it delivers strong reasoning performance at dramatically lower training and inference costs than many...
"OpenAI is Not God” - The DeepSeek Documentary on Liang Wenfeng, R1 and What's Next
DeepSeek R1 detonated a long-simmering AI power struggle by delivering “reasoning” that looks like it thinks before it answers—at a price and...
OpenAI’s open source models are finally here
OpenAI’s newly released open-weight models—an “120B” and a “20B” variant—are built to run locally, and early testing suggests the smaller 20B model...
Testing Gemini 1.5 and a 1 Million Token Window
Gemini 1.5 Pro marks a major step up for long-context AI: it pairs a newly updated model with a dramatically expanded context window—up to 1,048,576...
Mistral 8x7B Part 1- So What is a Mixture of Experts Model?
Mistral’s newly released “8x7B” model is a Mixture of Experts (MoE) system: eight separate expert networks, each roughly the size of Mistral 7B, are...
DeepSeekR1 - Full Breakdown
DeepSeek has released open weights for its reasoning model family, led by DeepSeek R1, along with a set of distilled smaller models that can...
Qwen QwQ 32B - The Best Local Reasoning Model?
QwQ 32B is being positioned as a top-tier “local reasoning” model that can run on personal hardware, and the core claim is that it delivers...
Qwen 3.5 - The next NEXT model
Qwen 3.5 lands as a major shift in how fast, capable AI can be—pairing a large mixture-of-experts model with a reported up to 19x decoding speed...
Googles Attempt to take on Open AI
Google’s Gemini 1.5 Pro is positioned as a direct leap in long-context, multimodal AI—capable of handling up to a 1 million token context window and...
Microsoft's Phi 3.5 - The latest SLMs
Microsoft has expanded its Phi 3 lineup with three new Phi 3.5 models—two instruction-tuned language models and an updated vision model—pushing...
MiroThinker 1.5 - The 30B That Outperforms 1T Models
MirrorThinker 1.5 is positioned as a practical shift in agent design: instead of relying on a single, information-heavy model, it’s built to...
Qwen3 Next - Behind the Curtain
Qwen 3 Next is an 80B Mixture of Experts (MoE) model built to run with only 3B active parameters per inference—an efficiency leap that still lands it...
Grok-1 Open Source: 314B Mixture-of-Experts Model by xAI | Blog post, GitHub/Source Code
xAI has open-sourced Gro-1, a 314B-parameter mixture-of-experts (MoE) model, releasing not only weights but also the model architecture and training...
DeepSeek Coder v2: First Open Coding Model that Beats GPT-4 Turbo?
DeepSeek Coder V2 is pitched as an open coding model that can rival—or even beat—GPT-4 Turbo on programming benchmarks, and the practical tests in...
DeepSeek v3 Tested - Coding, Data Extraction, Summarization, Data Labelling, RAG
DeepSeek V3 is positioned as a top-tier open-weight mixture-of-experts (MoE) model—strong on benchmarks and notably effective at real-world...
Confused by o4 vs. o3? My Trick to Remember Each of the 16 Major AI Models
Naming differences between AI models—like why “o4” might be considered different from “o3”—often fail because people try to map meaning onto...
Mixtral - Mixture of Experts (MoE) Free LLM that Rivals ChatGPT (3.5) by Mistral | Overview & Demo
Mistral AI’s Mixtral 8×7B (an open-weight sparse Mixture of Experts model) is positioned as a practical alternative to much larger LLMs by routing...
gpt-oss - OpenAI Open-Weight Reasoning Models | Ollama test, Benchmaxing, Safetymaxing?
OpenAI’s newly released open-weight reasoning models—GPT OSS 120B and GPT OSS 20B—sparked hype for matching closed-model performance on popular...
Llama 4 Test with Groq: Coding, Data Extraction, Data Labelling, Summarization, RAG
Meta’s Llama 4 lineup—Scout (109B), Maverick (400B), and Behemoth (2T, still training)—arrives with headline claims built around huge context windows...