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LAYER 04

04. Foundation Models & Model Assets

Benchmark Companies:
OpenAIOpenAIAnthropicAnthropicGoogle DeepMindGoogle DeepMindMeta (Llama)Meta (Llama)DeepSeek 深度求索DeepSeek 深度求索Moonshot AI (Kimi)Moonshot AI (Kimi)智谱 AI (GLM)智谱 AI (GLM)Qwen 通义千问Qwen 通义千问Mistral AIMistral AIMiniMax (海螺AI)MiniMax (海螺AI)零一万物 (01.AI)零一万物 (01.AI)百川智能百川智能MidjourneyMidjourneyRunwayRunway快手 (可灵 Kling)快手 (可灵 Kling)PikaPikaElevenLabsElevenLabsSunoSunoHugging FaceHugging Face魔搭 (ModelScope)魔搭 (ModelScope)EleutherAIEleutherAIxAIxAICohereCohereOpenAIOpenAIGoogle DeepMindGoogle DeepMindMeta AIMeta AIQwen 通义千问Qwen 通义千问

Developing core frontier assets: Dense/MoE Transformer architectures, Long-Context reasoning, Multimodal generative media, and open model checkpoints.

📊Layer View Mode:
🌐3D CROSS-CORRELATION MATRIX

04. Foundation Models & Model Assets · Cross-Correlation Ecosystem

Click any company, tech category, or career role to illuminate all cross-associations and dim unrelated entities.

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🏢

Benchmark Enterprises

27
OpenAIOpenAI
3
AnthropicAnthropic
1
Google DeepMindGoogle DeepMind
3
Meta (Llama)Meta (Llama)
4
DeepSeek 深度求索DeepSeek 深度求索
2
Moonshot AI (Kimi)Moonshot AI (Kimi)
2
智谱 AI (GLM)智谱 AI (GLM)
2
Qwen 通义千问Qwen 通义千问
3
Mistral AIMistral AI
4
MiniMax (海螺AI)MiniMax (海螺AI)
0
零一万物 (01.AI)零一万物 (01.AI)
0
百川智能百川智能
0
MidjourneyMidjourney
1
RunwayRunway
1
快手 (可灵 Kling)快手 (可灵 Kling)
1
PikaPika
1
ElevenLabsElevenLabs
1
SunoSuno
1
Hugging FaceHugging Face
2
魔搭 (ModelScope)魔搭 (ModelScope)
1
EleutherAIEleutherAI
1
xAIxAI
0
CohereCohere
0
OpenAIOpenAI
3
Google DeepMindGoogle DeepMind
3
Meta AIMeta AI
1
Qwen 通义千问Qwen 通义千问
1
🛠️

Tech Stack Categories & Atomic Nodes

3 Tracks
4.1

4.1 Foundation LLM & Reasoning Architectures

Transformer architecture evolutions, RoPE long-context scaling, Mixture-of-Experts (MoE) sparse routing, DeepSeek MLA attention, and chain-of-thought reasoning models.
Sub-Page
Transformer Evolution & Long-Context Scaling
💰 $260K - $560K / year (Frontier LLM Research) | ¥800K - ¥2.1M / year
Dense Transformer foundations, KV cache architectures (MHA/GQA/MQA), RoPE position embeddings with YaRN/ALiBi long-context extrapolation, RMSNorm, SwiGLU, and BPE tokenizer designs.
Benchmark:OpenAIOpenAIAnthropicAnthropicGoogle DeepMindGoogle DeepMindDeepSeek 深度求索DeepSeek 深度求索Moonshot AI (Kimi)Moonshot AI (Kimi)智谱 AI (GLM)智谱 AI (GLM)Qwen 通义千问Qwen 通义千问Meta (Llama)Meta (Llama)Mistral AIMistral AI
TransformerGQA / MQARoPEYaRNSwiGLURMSNormTokenizerLong-Context
MoE Sparse Routing & MLA Reasoning Architecture
💰 $270K - $600K / year (MoE & Reasoning Architectures) | ¥900K - ¥2.4M / year
Top-k sparse expert routing, auxiliary-loss-free dynamic load balancing, DeepSeek Multi-Head Latent Attention (MLA) low-rank KV compression, and chain-of-thought reasoning models.
Benchmark:DeepSeek 深度求索DeepSeek 深度求索智谱 AI (GLM)智谱 AI (GLM)Moonshot AI (Kimi)Moonshot AI (Kimi)Mistral AIMistral AIMeta (Llama)Meta (Llama)Google DeepMindGoogle DeepMindOpenAIOpenAIQwen 通义千问Qwen 通义千问
MoEExpert RoutingDeepSeek MLALow-Rank KVAuxiliary LossReasoning ModelDeepSeek-V3
4.2

4.2 Multimodal, Speech & Generative Media Models

Vision-Language (CLIP/LLaVA/Qwen-VL), cross-attention multimodal projectors, Diffusion Transformers (DiT) for video, and native full-duplex speech models.
Sub-Page
Vision-Language Models (VLM) & Cross-Modal Alignment
💰 $240K - $520K / year (VLM & Multimodal) | ¥700K - ¥1.9M / year
ViT visual encoders (SigLIP/CLIP), cross-attention multimodal projection layers, visual instruction tuning (LLaVA/Qwen-VL), dynamic high-res image patch splitting, and MMBench evaluation.
Benchmark:OpenAIOpenAIGoogle DeepMindGoogle DeepMindMeta AIMeta AIQwen 通义千问Qwen 通义千问
VLMLLaVACLIPSigLIPMultimodal ProjectorQwen-VLDynamic Patching
Diffusion / DiT Video Generation & Native Speech AI
💰 $250K - $540K / year (Generative Media & Speech) | ¥750K - ¥2.0M / year
Diffusion Transformers (DiT), Flow Matching, 3D spatiotemporal VAE compression, native end-to-end full-duplex speech-to-speech models, and generated media provenance watermarking.
Benchmark:MidjourneyMidjourneyRunwayRunway快手 (可灵 Kling)快手 (可灵 Kling)PikaPikaElevenLabsElevenLabsSunoSuno
DiTDiffusionFlow MatchingVideo GenerationAudio CodecNative Speech LLMMidjourney
4.3

4.3 Open Model Assets, Licenses & Checkpoint Ecosystem

Open model registries (Hugging Face / ModelScope), SafeTensors serialization, LoRA/QLoRA adapter assets, Model Card metadata, and open source license governance.
Sub-Page
Open Model Hubs, SafeTensors & Adapter Ecosystem
💰 $170K - $340K / year (Model Tooling & Release) | ¥420K - ¥950K / year
Open weights distribution on Hugging Face & ModelScope, SafeTensors zero-copy secure mmap serialization, LoRA/QLoRA adapter asset management, and universal embedding/reranker artifacts.
Benchmark:Hugging FaceHugging Face魔搭 (ModelScope)魔搭 (ModelScope)Meta (Llama)Meta (Llama)Mistral AIMistral AIQwen 通义千问Qwen 通义千问
Model HubSafeTensorsLoRA AdaptersEmbedding ModelsRerankersHugging FaceModelScope
Model Card Specs, License Governance & Security Scanning
💰 $160K - $320K / year (Model Governance & Policy) | ¥400K - ¥900K / year
Model Card metadata standards, license governance (Apache 2.0 / MIT / Llama Community License terms), SHA256 integrity checksums, and pickle malware security scanning.
Benchmark:Hugging FaceHugging FaceMeta (Llama)Meta (Llama)Mistral AIMistral AIEleutherAIEleutherAI
Model CardLicense GovernanceApache 2.0Llama LicensePickle ScanSHA256 ChecksumSecurity Scanning
💼

Career Track Roles

11
💼Research Scientist
3
💼ML Research Engineer
2
💼LLM Architect
2
💼NLP Engineer
2
💼Multimodal Engineer
1
💼Generative Media Researcher
1
💼Speech Engineer
1
💼Computer Vision Engineer
2
💼Model Release Engineer
2
💼ML Tooling Engineer
2
💼Model Ecosystem Engineer
1
🔄Sub-Domain Sequential Path (3 stages):
4.1

4.1 Foundation LLM & Reasoning Architectures

Open Sub-Page

Transformer architecture evolutions, RoPE long-context scaling, Mixture-of-Experts (MoE) sparse routing, DeepSeek MLA attention, and chain-of-thought reasoning models.

Transformer Evolution & Long-Context Scaling

Dense Transformer foundations, KV cache architectures (MHA/GQA/MQA), RoPE position embeddings with YaRN/ALiBi long-context extrapolation, RMSNorm, SwiGLU, and BPE tokenizer designs.

🏢 Companies
OpenAIOpenAIAnthropicAnthropicGoogle DeepMindGoogle DeepMindDeepSeek 深度求索DeepSeek 深度求索Moonshot AI (Kimi)Moonshot AI (Kimi)智谱 AI (GLM)智谱 AI (GLM)Qwen 通义千问Qwen 通义千问Meta (Llama)Meta (Llama)Mistral AIMistral AI
🛠️ Tech Stack
TransformerGQA / MQARoPEYaRNSwiGLURMSNormTokenizerLong-Context
💼 Roles & Salary
Research Scientist、ML Research Engineer、LLM Architect、NLP Engineer
💰 $260K - $560K / year (Frontier LLM Research) | ¥800K - ¥2.1M / year

MoE Sparse Routing & MLA Reasoning Architecture

Top-k sparse expert routing, auxiliary-loss-free dynamic load balancing, DeepSeek Multi-Head Latent Attention (MLA) low-rank KV compression, and chain-of-thought reasoning models.

🏢 Companies
DeepSeek 深度求索DeepSeek 深度求索智谱 AI (GLM)智谱 AI (GLM)Moonshot AI (Kimi)Moonshot AI (Kimi)Mistral AIMistral AIMeta (Llama)Meta (Llama)Google DeepMindGoogle DeepMindOpenAIOpenAIQwen 通义千问Qwen 通义千问
🛠️ Tech Stack
MoEExpert RoutingDeepSeek MLALow-Rank KVAuxiliary LossReasoning ModelDeepSeek-V3
💼 Roles & Salary
Research Scientist、LLM Architect、ML Research Engineer
💰 $270K - $600K / year (MoE & Reasoning Architectures) | ¥900K - ¥2.4M / year
【Mini-Sandbox】FlashAttention Memory Savings
Sequence Length:4,096 tokens
Naive Attention
1,024 MB
O(N²) 显存暴涨
FlashAttention
32 MB
节省 97% 显存 (O(N))
4.2

4.2 Multimodal, Speech & Generative Media Models

Open Sub-Page

Vision-Language (CLIP/LLaVA/Qwen-VL), cross-attention multimodal projectors, Diffusion Transformers (DiT) for video, and native full-duplex speech models.

Vision-Language Models (VLM) & Cross-Modal Alignment

ViT visual encoders (SigLIP/CLIP), cross-attention multimodal projection layers, visual instruction tuning (LLaVA/Qwen-VL), dynamic high-res image patch splitting, and MMBench evaluation.

🏢 Companies
OpenAIOpenAIGoogle DeepMindGoogle DeepMindMeta AIMeta AIQwen 通义千问Qwen 通义千问
🛠️ Tech Stack
VLMLLaVACLIPSigLIPMultimodal ProjectorQwen-VLDynamic Patching
💼 Roles & Salary
Multimodal Engineer、Computer Vision Engineer、Research Scientist
💰 $240K - $520K / year (VLM & Multimodal) | ¥700K - ¥1.9M / year

Diffusion / DiT Video Generation & Native Speech AI

Diffusion Transformers (DiT), Flow Matching, 3D spatiotemporal VAE compression, native end-to-end full-duplex speech-to-speech models, and generated media provenance watermarking.

🏢 Companies
MidjourneyMidjourneyRunwayRunway快手 (可灵 Kling)快手 (可灵 Kling)PikaPikaElevenLabsElevenLabsSunoSuno
🛠️ Tech Stack
DiTDiffusionFlow MatchingVideo GenerationAudio CodecNative Speech LLMMidjourney
💼 Roles & Salary
Generative Media Researcher、Computer Vision Engineer、Speech Engineer
💰 $250K - $540K / year (Generative Media & Speech) | ¥750K - ¥2.0M / year
4.3

4.3 Open Model Assets, Licenses & Checkpoint Ecosystem

Open Sub-Page

Open model registries (Hugging Face / ModelScope), SafeTensors serialization, LoRA/QLoRA adapter assets, Model Card metadata, and open source license governance.

Open Model Hubs, SafeTensors & Adapter Ecosystem

Open weights distribution on Hugging Face & ModelScope, SafeTensors zero-copy secure mmap serialization, LoRA/QLoRA adapter asset management, and universal embedding/reranker artifacts.

🏢 Companies
Hugging FaceHugging Face魔搭 (ModelScope)魔搭 (ModelScope)Meta (Llama)Meta (Llama)Mistral AIMistral AIQwen 通义千问Qwen 通义千问
🛠️ Tech Stack
Model HubSafeTensorsLoRA AdaptersEmbedding ModelsRerankersHugging FaceModelScope
💼 Roles & Salary
Model Release Engineer、ML Tooling Engineer、NLP Engineer
💰 $170K - $340K / year (Model Tooling & Release) | ¥420K - ¥950K / year

Model Card Specs, License Governance & Security Scanning

Model Card metadata standards, license governance (Apache 2.0 / MIT / Llama Community License terms), SHA256 integrity checksums, and pickle malware security scanning.

🏢 Companies
Hugging FaceHugging FaceMeta (Llama)Meta (Llama)Mistral AIMistral AIEleutherAIEleutherAI
🛠️ Tech Stack
Model CardLicense GovernanceApache 2.0Llama LicensePickle ScanSHA256 ChecksumSecurity Scanning
💼 Roles & Salary
Model Release Engineer、Model Ecosystem Engineer、ML Tooling Engineer
💰 $160K - $320K / year (Model Governance & Policy) | ¥400K - ¥900K / year