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DeepMind Desk
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Ranking - AI Model Benchmarking
- O1 , O1 mini, O3, O3 mini
- Claude 3.5 Sonnet
- GPT-40
- GPT-4 Turbo
- GPT-4
- Mistral Large 2
- Claude 3 Opus
- Gemini 1.5 Pro
- Claude 3 Sonnet
- Llama 3 70B
- O1 – Preview – OpenAI
- Claude 3.5 Sonnet – Anthropic
- GPT-40 – OpenAI
- GPT-4 Turbo – OpenAI
- GPT-4 – OpenAI
- Mistral Large 2 – Mistral AI
- Claude 3 Opus – Anthropic
- Gemini 1.5 Pro – Google
- Claude 3 Sonnet – Anthropic
- Llama 3 70B – Meta
Top AI Powerful Chips Producers
- NVIDIA
- AMD
- INTEL
- AWS
- ALPHABET
- IBM
- ALIBABA
- GROQ
- SAMBANOVA SYSTEMS
- CEREBRAS SYSTEMS
- APPLE
- META
- MICROSOFT AZURE
- REBELLIONS
- GRAPHCORE
- MYHTIC
- ETCHED
- NVIDIA – GH200
- AMD – MI350
- INTEL – GAUDI 3
- AWS – TRAINIUM 3
- ALPHABET – TRILLIUM
- IBM – NORTHPOLE
- ALIBABA – ACCEL
- GROQ – LPU INFERENCE ENGINE
- SAMBANOVA SYSTEMS – SN40L
- CEREBRAS SYSTEMS -WFE3
- APPLE – M4
- META – ARTEMIS
- MICROSOFT AZURE – MAIA 100
- REBELLIONS – REBEL
- GRAPHCORE – BOW IPU
- MYHTIC – M2000
- ETCHED – SOHU
KDNuggets Desk

Traditional data pipeline development often requires extensive procedural code to define how data should be transformed and moved between stages. The declarative approach flips this paradigm by allowing data engineers to specify what the end result should be rather than prescribing every step of how to achieve it.














