Hacker News
- Evaluating LLMs with Giskard in MLflow https://www.databricks.com/blog/evaluating-large-language-models-giskard-mlflow 0 comments
- Databricks Buys Tabular (The Iceberg Company) https://www.databricks.com/blog/databricks-tabular 1 comment
- DBRX: A new open LLM https://www.databricks.com/blog/introducing-dbrx-new-state-art-open-llm 343 comments
- DBRX: 135B MoE LLM trained and open sourced by Databricks https://www.databricks.com/blog/announcing-dbrx-new-standard-efficient-open-source-customizable-llms 2 comments
- LLM Training and Inference with Intel Gaudi 2 AI Accelerators https://www.databricks.com/blog/llm-training-and-inference-intel-gaudi2-ai-accelerators 8 comments
- English as the new programming language for Apache spark https://www.databricks.com/blog/introducing-english-new-programming-language-apache-spark 51 comments
- Databricks acquires serverless Postgres vendor bit.io https://www.databricks.com/blog/welcoming-bit-io-databricks-investing-developer-experience 117 comments
- Free Dolly: First truly open instruction-tuned LLM https://www.databricks.com/blog/2023/04/12/dolly-first-open-commercially-viable-instruction-tuned-llm 49 comments
- Hello Dolly: Democratizing the magic of ChatGPT with open models https://www.databricks.com/blog/2023/03/24/hello-dolly-democratizing-magic-chatgpt-open-models.html 173 comments
- Databricks Announces General Availability of Model Serving https://www.databricks.com/blog/2023/03/07/announcing-general-availability-databricks-model-serving.html 5 comments
- Databricks Acquires Tabular https://www.databricks.com/blog/databricks-tabular 2 comments database
- Databrics introduces the World's First Truly Open Instruction-Tuned LLM https://www.databricks.com/blog/2023/04/12/dolly-first-open-commercially-viable-instruction-tuned-llm 4 comments programming
- Databricks announces General Availability of Model Serving https://www.databricks.com/blog/2023/03/07/announcing-general-availability-databricks-model-serving.html 4 comments machinelearningnews
- Does trunk-based development still work for mlops and data science / AI heavy teams? https://www.databricks.com/explore/data-science-machine-learning/big-book-of-MLOps#page=1 7 comments devops