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Long context retrieval models with Monarch Mixer

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Text embeddings are a critical piece of many pipelines, from search, to RAG, to vector databases and more.

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Long Context Fine-Tuning: A Technical Deep DiveTogether Hyena Hierarchy: Towards larger convolutional language modelsTogether Together AI launches Llama 3.2 APIs for vision, lightweight models & Llama Stack: powering rapidTogether Together Evaluations: Benchmark Models for Your TasksTogether Preparing for the era of 32K context: Early learnings and explorationsTogether How speech models fail where it matters the most and what to do about itTogether 10 best AI observability tools for monitoring and evaluating agents in 2026Mintlify New Spanish and Turkish Language Models and Updated General Models - Deepgram Blog ⚡️Deepgram AI frameworks: Definition, types, and how to chooseZapier How We Eliminated Long-Lived CI Secrets Across 70+ ReposPulumi Discovered Stacks: One Place for All Your InfrastructurePulumi Go Concurrency Patterns: Context - The Go Programming LanguageGo How Hunch supercharged AI workflows with Modal SandboxesModal Anthropic integration with Modal brings scalable compute to Claude ScienceModal SQL is Dead, Long Live SQL: Engineering a Reliable Analytics Agent from ScratchMotherduck Introducing DocChat: GPT-4 Level Conversational QA Trained In a Few Hours - CerebrasCerebras Cerebras Systems Enables GPU-Impossible™ Long Sequence Lengths Improving Accuracy in NaturalCerebras How to Run Hugging Face Models Programmatically Using Ollama and TestcontainersDocker The Livecycle Docker Extension: Instantly Share Changes and Get Feedback in ContextDocker Rolling out a new featureVercel