OpenAI
Recent items mentioning OpenAI across the Databricks ecosystem — releases, news, videos, and community Q&A. Updated hourly.
Databricks' Data + AI Summit Keynote 2026 featured OpenAI 1. Community discussions indicate interest in Azure OpenAI v1 API support for External Model Serving and Mosaic AI Gateway 2, alongside troubleshooting issues with the databricks-openai package after resolving databricks-vectorsearch 3. Educational content also explored how LLMs, including those from OpenAI, understand prompts through tokenization and embeddings 45.
Generated daily from the 6 most recent items mentioning OpenAI. Click any [N] to jump to the source.
MLflow 3.14.0 introduces new GenAI features including agent onboarding, durable tracing for Claude Code, review queues for traces, and a revamped evaluation dataset UI. It also includes a new LLM Playground for prompt iteration and changes the default serialization format for several MLflow model flavors to `skops` or `pt2`.
Azure OpenAI v1 API support for External Model Serving / Mosaic AI Gateway?
Official databricks-openai package fails to import after resolving databricks-vectorsearch
NewsHow LLMs Understand your Prompts: Tokenization & Embeddings | Chapter 05
The video explains how Large Language Models (LLMs) understand text by converting it into numerical representations through tokenization and embeddings. It demonstrates how text is broken into tokens, assigned unique IDs, and then transformed into dense vectors (embeddings) that capture semantic meaning and positional information for LLM processing.
MLflow 3.13.0 introduces a new Role-Based Access Control system with an Admin UI for managing users and permissions, alongside trace retention and auto-archival to object storage. This release also includes one-click observability for coding agents, new engines for MLflow Assistant, and an official Helm chart for Kubernetes deployments.
TutorialsHow Large Language Models (LLMs) Work - Full Explanation | Chapter 04
Large Language Models (LLMs) are text-based neural networks trained on massive data to predict the next word (token), operating through tokenization, vector embeddings, and a transformer architecture. LLMs undergo pre-training, supervised fine-tuning, and reinforcement learning from human feedback to become helpful, safe, and aligned, with concepts like context length, knowledge cut-off, and hallucination defining their capabilities and limitations.
MLflow now features a major overhaul of Role-Based Access Control with a new Admin UI and unified permission APIs. It also introduces end-to-end trace archival, Helm charts for Kubernetes deployment, and a new API for stress-testing GenAI agents.
MLflow 3.12.0 introduces multimodal tracing, allowing storage and rich rendering of PDFs, audio, and images as artifact attachments in tracing spans. It also adds AI Gateway guardrails to prevent unsafe model inputs/outputs and extends coding agent tracing support to Codex, Gemini, and Qwen.
MLflow 3.12.0rc0 introduces enhanced AI agent development features, including automatic tracing for more AI coding assistants and OpenClaw, along with new AI Gateway guardrails for safety checks. It also adds multimodal trace attachments for viewing images, audio, and files in the UI, and a new `mlflow.diffusers` flavor for saving and serving diffusion models.
OpenAI GPT-5.5 + Codex, now available and fully-governed in Databricks
GPT-5.5 and Codex are now natively available in Databricks, fully governed by Unity AI Gateway for permissions, cost controls, guardrails, and observability. This enables agent building with GPT-5.5 and natural language querying of enterprise data via Genie.
ReleasesHow OpenAI and Databricks are working together
Databricks and OpenAI are partnering to help enterprises deploy and adopt AI, with Databricks focusing on secure data access and management for AI applications through products like Genie and AI Gateway. The video highlights GPT 5.5's enhanced planning capabilities and its leading performance in office knowledge work benchmarks, demonstrating its impact beyond coding to automate internal business processes.
Unity Catalog AI 0.4.0
DatabricksFunctionClient now supports an optional warehouse_id for function execution, enabling use in workspaces without serverless compute. Python 3.10+ is now required, and several bug fixes address issues with Gemini toolkit, LangGraph, and OSS client function creation.
Databricks partners with OpenAI on GPT-5.5
GPT-5.5 and Codex are coming soon to Databricks, governed by Unity AI Gateway, and cut OfficeQA Pro errors nearly in half. This partnership with OpenAI brings advanced models directly to Databricks users.
MLflow 3.11.1 introduces AI-powered issue detection for agent traces, budget alerts and limits for AI Gateway spending, and a new interactive graph view for visualizing trace hierarchies. It also enhances security with pickle-free model serialization and improves dependency management with native UV support.
ReleasesDatabricks Genie Code, Carl, Bull**** Bench & more! | AI Newsround - March '26 | Advancing Analytics
The video discusses Databricks' new AI tools, Genie Code for autonomous data work and Carl for faster, cost-efficient enterprise knowledge agents using custom reinforcement learning. It also covers the Bench V2 for evaluating AI models' ability to detect and push back on nonsense, along with updates to various models like Qwen 3.5, Gemini 3.1 Flashlight, and OpenAI's GPT-5.3 Instant, 5.4, Mini, and Nano, highlighting their focus on agent capabilities and cost-efficiency.
This release introduces AI-powered issue identification for agent traces, budget alerts and limits for AI Gateway spending, and an interactive graph view for trace hierarchies. It also includes native OpenTelemetry GenAI convention support, Opencode tracing integration, UV package manager support, and pickle-free model serialization options for enhanced security.
NewsOpenClaw, Databricks Agentic Data Monitoring & more! | AI Newsround - February 2026 | Advancing AI
The video discusses OpenClaw, an open-source framework for AI agents, and Databricks' new agentic data quality monitoring solution. It also introduces Advancing Analytics' Lake Forge and Pantheon, a framework and AI layer for developing scalable Lake Flow pipelines, and highlights new model releases from Anthropic, Google, and OpenAI.
Delta Lake 4.1.0
Delta Lake 4.1.0 introduces enhanced support for Unity Catalog managed tables, including batch/streaming read/write and conflict-free feature enablement for Deletion Vectors and Column Mapping. It also requires Java 17 and Spark 4.0.1+, dropping support for Spark 3.5.
v.3.9.0
MLflow 3.9.0 introduces an in-product MLflow Assistant chatbot and a Trace Overview Dashboard for GenAI experiments, enhancing debugging and performance insights. The AI Gateway is revamped for direct tracking server integration, alongside new LLM judge features for online monitoring and custom prompt building.
NewsDatabricks: What’s new in October 2025 #databricks news
Databricks introduces Databricks One, a new business-focused experience with consumer access for dashboards and Genie, alongside updates to Genie for defining relations and extended API endpoints. The platform also adds features like easy conversion of external to managed tables, enhanced Databricks Asset Bundles with policy integration and script execution, and new system tables for MLflow tracking and data classification results.
Unity Catalog AI 0.3.0
Functions now execute in a safer sandboxed process by default, with a new local development mode for easier debugging. You can now retrieve UC-registered Python functions as direct Python callables or their source code, and DatabricksFunctionClient connection reliability has improved.
Unity Catalog AI 0.1.0
This initial release introduces Unity Catalog AI, providing a core client for managing and executing Unity Catalog functions as GenAI tools. It includes integration packages for popular AI frameworks like LangChain, LlamaIndex, OpenAI, Anthropic, CrewAI, and AutoGen, enabling seamless use of UC functions within these applications.
