AI education by VSET — models, MCPs, agents, and engineering practicehttps://learn.engineering.vips.edu/en-INhttps://learn.engineering.vips.edu/ai-models/01-ai-yi-large/https://learn.engineering.vips.edu/ai-models/01-ai-yi-large/01.AI's Yi-Large is Kai-Fu Lee's flagship Chinese/English LLM, a closed-model 2024 release optimised for reasoning, multilingual chat, and enterprise RAG.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/adobe-firefly-3/https://learn.engineering.vips.edu/ai-models/adobe-firefly-3/Firefly Image 3 is Adobe's commercially-safe generative image model, trained on licensed Adobe Stock content and deeply integrated into Photoshop, Illustrator, and Express.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/alibaba-gte-qwen2-7b-instruct/https://learn.engineering.vips.edu/ai-models/alibaba-gte-qwen2-7b-instruct/GTE-Qwen2 7B Instruct is Alibaba DAMO's 7B-parameter open text-embedding model — topped the MTEB leaderboard at release, built on the Qwen 2 backbone for 4096-dim dense retrieval.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/ai21-jamba-1-5-large/https://learn.engineering.vips.edu/ai-models/ai21-jamba-1-5-large/Jamba 1.5 Large is AI21 Labs' open-weights hybrid SSM-Transformer model — a 398B total / 94B active MoE combining Mamba and attention layers with 256K context.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/alibaba-marco-o1/https://learn.engineering.vips.edu/ai-models/alibaba-marco-o1/Alibaba's Marco-o1 is an open-weight reasoning LLM that applies o1-style chain-of-thought search using Monte Carlo Tree Search over reasoning trajectories.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/alibaba-qwen-2-5-72b/https://learn.engineering.vips.edu/ai-models/alibaba-qwen-2-5-72b/Qwen 2.5 72B Instruct is Alibaba's 2024 open-weights flagship dense model — Apache 2.0 licensed, matching Llama 3.1 405B on many benchmarks at a 72B footprint.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/alibaba-qwen-2-5-vl-72b/https://learn.engineering.vips.edu/ai-models/alibaba-qwen-2-5-vl-72b/Qwen2.5-VL 72B is Alibaba's top-tier open-weights vision-language model — a 72B transformer with agentic UI grounding, long-video understanding, and precise document OCR.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/alibaba-qwen-2-5-coder-32b/https://learn.engineering.vips.edu/ai-models/alibaba-qwen-2-5-coder-32b/Qwen 2.5 Coder 32B is Alibaba's open-weights coding flagship — a 32B dense model that matched GPT-4o on HumanEval at release and runs on a single H100.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/alibaba-qwen-2-5-math-72b/https://learn.engineering.vips.edu/ai-models/alibaba-qwen-2-5-math-72b/Qwen2.5-Math 72B is Alibaba's open-weights math specialist — a 72-billion-parameter Qwen2.5 fine-tune with tool-augmented (Python) reasoning for Olympiad-class problems.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/alibaba-qwen-2-audio-7b/https://learn.engineering.vips.edu/ai-models/alibaba-qwen-2-audio-7b/Qwen2-Audio 7B is Alibaba's open-weights audio-language model — a 7B transformer that accepts speech, music, and environmental sounds and responds in natural-language text.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/alibaba-qwen-2-vl-72b/https://learn.engineering.vips.edu/ai-models/alibaba-qwen-2-vl-72b/Qwen2-VL 72B is Alibaba's flagship open vision-language model with dynamic-resolution visual encoding, strong OCR, and 20-minute video understanding on the Qwen 2 backbone.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/alibaba-qwq-32b/https://learn.engineering.vips.edu/ai-models/alibaba-qwq-32b/Qwen QwQ 32B is Alibaba's open-weights reasoning model — a 32B dense variant trained with reinforcement learning that competes with DeepSeek R1 at a much smaller footprint.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/alibaba-qwen-3/https://learn.engineering.vips.edu/ai-models/alibaba-qwen-3/Qwen 3 is Alibaba's 2025 flagship open-weights family — dense and MoE variants from 0.6B to 235B, Apache 2.0 licensed, with strong multilingual and reasoning behavior.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/anthropic-claude-3-5-haiku/https://learn.engineering.vips.edu/ai-models/anthropic-claude-3-5-haiku/Claude 3.5 Haiku is Anthropic's November 2024 small model — fast, cheap, and the first Haiku to match or beat Claude 3 Opus on several coding and reasoning benchmarks.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/anthropic-claude-2-1/https://learn.engineering.vips.edu/ai-models/anthropic-claude-2-1/Claude 2.1 is Anthropic's late-2023 flagship — introduced the 200K-token context window and improved refusal behaviour. Now a legacy model referenced mostly for benchmark comparisons.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/anthropic-claude-3-7-sonnet/https://learn.engineering.vips.edu/ai-models/anthropic-claude-3-7-sonnet/Claude 3.7 Sonnet is Anthropic's February 2025 hybrid reasoning model — the first Claude with extended thinking, mixing fast responses and long chain-of-thought in one model.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/anthropic-claude-3-haiku/https://learn.engineering.vips.edu/ai-models/anthropic-claude-3-haiku/Claude 3 Haiku is Anthropic's original March 2024 small, fast, cheap model — the first Haiku tier, still widely deployed in legacy pipelines despite being surpassed by Haiku 3.5 and 4.5.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/anthropic-claude-3-opus/https://learn.engineering.vips.edu/ai-models/anthropic-claude-3-opus/Claude 3 Opus is Anthropic's March 2024 flagship — the original Opus tier that established Claude as a GPT-4-class frontier model with strong long-context and reasoning performance.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/anthropic-claude-3-5-sonnet/https://learn.engineering.vips.edu/ai-models/anthropic-claude-3-5-sonnet/Claude 3.5 Sonnet is the June 2024 model that made Claude famous for coding — state-of-the-art SWE-bench at launch, tool use, vision, and the first computer-use preview.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/anthropic-claude-3-sonnet/https://learn.engineering.vips.edu/ai-models/anthropic-claude-3-sonnet/Claude 3 Sonnet is Anthropic's March 2024 mid-tier model — the original Sonnet that balanced cost and quality in the Claude 3 launch before 3.5 Sonnet redefined the tier.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/anthropic-claude-code/https://learn.engineering.vips.edu/ai-models/anthropic-claude-code/Claude Code is Anthropic's official agentic command-line product — a terminal-first coding agent built on the Claude models, with native tool use, file editing, and git integration.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/anthropic-claude-haiku-4-5/https://learn.engineering.vips.edu/ai-models/anthropic-claude-haiku-4-5/Claude Haiku 4.5 is Anthropic's fast, low-cost 2025 model — matches Sonnet 4 on many tasks at about one-third the price and double the speed, ideal for sub-tasks and real-time UX.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/anthropic-claude-opus-4-7/https://learn.engineering.vips.edu/ai-models/anthropic-claude-opus-4-7/Claude Opus 4.7 is Anthropic's top-tier model for long-context reasoning, code generation, and agentic workflows. 1M context, native tool use, strong on SWE-bench.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/anthropic-claude-sonnet-4-5/https://learn.engineering.vips.edu/ai-models/anthropic-claude-sonnet-4-5/Claude Sonnet 4.5 is Anthropic's September 2025 Sonnet refresh — a best-in-class coding model at the time with 200K context, extended thinking, and strong agent behaviour.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/anthropic-claude-instant-1-2/https://learn.engineering.vips.edu/ai-models/anthropic-claude-instant-1-2/Claude Instant 1.2 is Anthropic's 2023 low-latency chat model — the cheap, fast sibling of Claude 1. Deprecated in favour of the Haiku line but still referenced in many legacy apps.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/anthropic-claude-sonnet-4-6/https://learn.engineering.vips.edu/ai-models/anthropic-claude-sonnet-4-6/Claude Sonnet 4.6 is Anthropic's everyday-workhorse model — balances quality and cost, 1M context, strong coding and tool use, and powers most Claude-based production apps in 2026.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/apple-openelm-3b/https://learn.engineering.vips.edu/ai-models/apple-openelm-3b/Apple's OpenELM 3B is an open, on-device-friendly LLM using layer-wise scaling, released with full training recipe and CoreML export in 2024.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/assemblyai-universal-2/https://learn.engineering.vips.edu/ai-models/assemblyai-universal-2/AssemblyAI Universal-2 is a batch-first speech-to-text model with state-of-the-art English WER and built-in LeMUR LLM features for summaries, chapters, and Q&A.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/baichuan-baichuan-4/https://learn.engineering.vips.edu/ai-models/baichuan-baichuan-4/Baichuan Intelligent's Baichuan 4 is a closed Chinese LLM with 192k context, strong reasoning and bilingual performance, widely used in Chinese enterprise.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/bge-m3/https://learn.engineering.vips.edu/ai-models/bge-m3/BGE-M3 is BAAI's open-weight multilingual embedding model — one backbone producing dense, sparse, and multi-vector retrievals over 100+ languages with 8k context.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/cartesia-sonic/https://learn.engineering.vips.edu/ai-models/cartesia-sonic/Sonic is Cartesia's low-latency text-to-speech model built on state-space-model (Mamba-style) architectures — sub-90 ms time-to-first-audio for real-time voice agents.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/bge-reranker-v2-m3/https://learn.engineering.vips.edu/ai-models/bge-reranker-v2-m3/BGE Reranker v2-M3 is BAAI's open-weight multilingual cross-encoder reranker — pairs naturally with BGE-M3 embeddings for a fully open-source RAG pipeline.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/black-forest-flux-1-pro/https://learn.engineering.vips.edu/ai-models/black-forest-flux-1-pro/FLUX.1 [pro] is Black Forest Labs' flagship closed text-to-image model — state-of-the-art prompt adherence and photorealism, served via bfl.ai and partner APIs.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/cohere-aya-23-35b/https://learn.engineering.vips.edu/ai-models/cohere-aya-23-35b/Aya 23 35B is Cohere For AI's 2024 open-weights multilingual model — a 35-billion-parameter decoder built on Command R, tuned across 23 languages.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/bloomberg-bloomberg-gpt/https://learn.engineering.vips.edu/ai-models/bloomberg-bloomberg-gpt/BloombergGPT is a 50-billion-parameter finance-specialised LLM trained on Bloomberg's proprietary financial corpus — a landmark domain model for finance NLP.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/black-forest-flux-1-dev/https://learn.engineering.vips.edu/ai-models/black-forest-flux-1-dev/FLUX.1 [dev] is Black Forest Labs' open-weight 12B diffusion transformer — near-[pro] quality for research and non-commercial use, with a growing LoRA ecosystem.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/cohere-aya-expanse-32b/https://learn.engineering.vips.edu/ai-models/cohere-aya-expanse-32b/Aya Expanse 32B is Cohere For AI's follow-up multilingual open-weights model — a 32B Command-family decoder covering 23 languages with state-of-the-art per-language quality.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/cohere-command-r/https://learn.engineering.vips.edu/ai-models/cohere-command-r/Command R is Cohere's RAG-first production LLM — a mid-size model tuned for grounded answers with citations, tool use, and multilingual enterprise deployments.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/cohere-command-r-plus/https://learn.engineering.vips.edu/ai-models/cohere-command-r-plus/Command R+ is Cohere's 104B open-weights model purpose-built for RAG and tool-use — strong citation quality and multilingual support under the CC-BY-NC research license.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/cohere-embed-v3/https://learn.engineering.vips.edu/ai-models/cohere-embed-v3/Cohere Embed v3 is a multilingual retrieval embedding model with input-type prompts (search_document, search_query) and strong BEIR scores for enterprise RAG.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/cohere-rerank-multilingual-v3/https://learn.engineering.vips.edu/ai-models/cohere-rerank-multilingual-v3/Cohere Rerank 3 Multilingual is a cross-encoder reranking model over 100+ languages — reorders retrieval hits by query relevance for RAG and search at low latency.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/cohere-rerank-3/https://learn.engineering.vips.edu/ai-models/cohere-rerank-3/Cohere Rerank 3 is a cross-encoder reranker for RAG — score (query, document) pairs to boost top-k relevance after a first-stage embedding retrieval.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/deepgram-nova-3/https://learn.engineering.vips.edu/ai-models/deepgram-nova-3/Deepgram Nova-3 is a streaming-first speech-to-text model — sub-300 ms real-time transcription with diarisation, keyterm prompting, and strong accented-English WER.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/deepmind-alphaproof/https://learn.engineering.vips.edu/ai-models/deepmind-alphaproof/AlphaProof is Google DeepMind's AI math-proof system that achieved silver-medal IMO performance — Gemini-trained reinforcement learning over Lean 4 theorem-proving environments.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/databricks-dbrx-instruct/https://learn.engineering.vips.edu/ai-models/databricks-dbrx-instruct/Databricks DBRX Instruct is a 132B-parameter open-weight MoE model (36B active) trained on 12T tokens, optimised for enterprise data and lakehouse RAG.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/deepmind-alphafold-3/https://learn.engineering.vips.edu/ai-models/deepmind-alphafold-3/AlphaFold 3 is Google DeepMind's biology model that predicts joint structures of proteins, DNA, RNA, ligands, and ions — a step-change for drug-discovery workflows.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/deepseek-coder-33b-instruct/https://learn.engineering.vips.edu/ai-models/deepseek-coder-33b-instruct/DeepSeek Coder 33B Instruct is DeepSeek AI's 2023 open-weights coding LLM — a 33B dense decoder trained on 2T tokens of code, fluent in 80+ programming languages.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/deepseek-janus-pro-7b/https://learn.engineering.vips.edu/ai-models/deepseek-janus-pro-7b/Janus Pro 7B is DeepSeek AI's open-weights unified multimodal model — a 7B transformer that both understands and generates images through decoupled visual encoders.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/deepseek-coder-v2/https://learn.engineering.vips.edu/ai-models/deepseek-coder-v2/DeepSeek Coder V2 is the open-weights coding SOTA — a 236B parameter MoE (21B active) that matched closed-frontier coding models on HumanEval and LiveCodeBench.Mon, 20 Apr 2026 00:00:00 GMThttps://learn.engineering.vips.edu/ai-models/deepseek-llm-67b/https://learn.engineering.vips.edu/ai-models/deepseek-llm-67b/DeepSeek LLM 67B is DeepSeek AI's 2023 general-purpose open-weights model — a 67-billion-parameter dense decoder that served as the bilingual Chinese/English foundation for later DeepSeek releases.Mon, 20 Apr 2026 00:00:00 GMT