Lindsey Allen @herdcats
General Manager, Azure Databricks & Applied AI Innovations microsoft.com/en-us/ai/ai-pl… Redmond, WA Joined April 2011-
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Building RESTful APIs in Rust With Actix and Diesel dlvr.it/T63pCd
Working with IAsyncEnumerable in C# dlvr.it/T5yZ1K
4 Reasons to use KustoDB for Real-Time dlvr.it/T5wLSY
Recursive CTEs: Transforming and Analyzing Data in PostgreSQL, Part 3 dlvr.it/T5rqWc
Building a Culture of Data: The Technical Aspects dlvr.it/T5lPcV
Database Subsetting and Data Extraction dlvr.it/T5fVbt
Exploration Experience: Saving and Creating Datasets dlvr.it/T5fFlq
Snake draft sorting in SQL Server, part 2 dlvr.it/T5XKWw
Snake draft sorting in SQL Server, part 1 dlvr.it/T5Qrly
Fabric and Azure SQL in a few clicks: Mirroring a Database dlvr.it/T5QPyK
How to Use Any SQL Database With Rust dlvr.it/T5Mzgh
Azure OpenAI and RAG Security dlvr.it/T5Lgk0
Using Common Table Expressions: Transforming and Analyzing Data in PostgreSQL, Part 2 dlvr.it/T5FVRS
Giving Feedback on Microsoft Data Platform Tools dlvr.it/T5CKHv
Building a Culture of Data dlvr.it/T53yJC
Dynamic Partitioning and a Simple Incremental Load dlvr.it/T51pjD
Building MongoDB Aggregations in MongoDB Compass dlvr.it/T4z7M9
We built DBRX end-to-end in 2-3 months on 3K H100s. We train LLMs day-in and day-out with our customers - thousands in the past year. We're constantly finding better ways to build models, and DBRX showcases our latest advances: in data, modeling, performance, and fine-tuning.
Meet our new AI, #DBRX DBRX is an advance in what language models can do per $. These economics will have profound impacts on how AI is used, and we've built this to democratize these capabilities! It's the best open model in the world. It closes the gap to closed models in a…
Meet our new AI, #DBRX DBRX is an advance in what language models can do per $. These economics will have profound impacts on how AI is used, and we've built this to democratize these capabilities! It's the best open model in the world. It closes the gap to closed models in a…
Buck Woody @BuckWoodyMSFT
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“How’s your sabbatical?” Well…DBRX is GREAT at RAG! If you’ve been using Mixtral/Llama2/GPT3.5, then try DBRX! The combination of RAG with its SoTA capabilities on knowledge/code/reasoning will unlock new CompoundAI opportunities. databricks.com/blog/introduci…
We built DBRX end-to-end in 2-3 months on 3K H100s. We train LLMs day-in and day-out with our customers - thousands in the past year. We're constantly finding better ways to build models, and DBRX showcases our latest advances: in data, modeling, performance, and fine-tuning.
Meet our new AI, #DBRX DBRX is an advance in what language models can do per $. These economics will have profound impacts on how AI is used, and we've built this to democratize these capabilities! It's the best open model in the world. It closes the gap to closed models in a…
Meet #DBRX: a general-purpose LLM that sets a new standard for efficient open source models. Use the DBRX model in your RAG apps or use the DBRX design to build your own custom LLMs and improve the quality of your GenAI applications. dbricks.co/43xaCMj
Okay, this is interesting.. In all of the evals they are using the DBRX Instruct model. What about the base model? How good is it?
Startup Databricks just released DBRX, the most powerful open source large language model yet—eclipsing Meta’s Llama 2. wired.trib.al/DmvqnWv
To those who want to play with #DBRX, it's available on @huggingface here: huggingface.co/databricks/dbr… There's a Space available there to chat with it (powered by @databricks FM-inference). Enjoy!
“We’re at an important inflection point for AI that requires a community of researchers, engineers and technologists to better understand it and drive meaningful innovation.” - @mechanicaldirk, AI2 principal research engineer, on #DBRX 👇This is meaningful innovation.
Meet DBRX, a new sota open llm from @databricks. It's a 132B MoE with 36B active params trained from scratch on 12T tokens. It sets a new bar on all the standard benchmarks, and - as an MoE - inference is blazingly fast. Simply put, it's the model your data has been waiting for.
Databricks has just unveiled DBRX, a groundbreaking open-source Large Language Model (LLM) with a staggering 132 billion parameters. Here’s what you need to know 👇 •DBRX is a new, free AI model with 132B parameters. •It’s efficient, using only 36B parameters at a time.…
#DBRX sets a new standard for efficient open source LLMs. While it has 132B total parameters, with its fine-grained MoE architecture, DBRX only uses 36B at any given time. Learn more about how we built #DBRX & benchmarked its performance. dbricks.co/3J13hed
JUST IN: Databricks introduces DBRX, a new 132B parameter open LLM Here is a summary of the technical details: DBRX outperforms all the established open-source models on common benchmarks like MMLU and GSM8K. DBRX was pretrained on 12T tokens (text and code) and uses a…
It’s finally here 🎉🥳 In case you missed us, MosaicML/ Databricks is back at it, with a new best in class open weight LLM named DBRX. An MoE with 132B total parameters and 32B active 32k context length and trained for 12T tokens 🤯
Probably the thing I’m most excited about with DBRX, it’s super fast! Easily 150 tokens/s for quality comparable to much slower closed models.
Okay @databricks what're you cooking behind this space its so fast lmao
Damn! DBRX 132B is wild! 🤯 - Trained on 12 Trillion tokens. - Beats Grok-1, Mixtral, etc. - Mixture of Experts. 16 experts, 4 active. - Uses RoPE, GLU and GQA. - Context size of 32K. - Open access - Base and Instruct. 📷 - Requires 264 GB RAM; inference with Transformers!…
“It’s not general intelligence; it’s data intelligence on their data.” Learn more about the release of DBRX, a new open-source general-purpose model, as shared by CEO @alighodsi on @technology 👇 dbricks.co/43RMswh
Meet #DBRX: a general-purpose LLM that sets a new standard for efficient open source models. Use the DBRX model in your RAG apps or use the DBRX design to build your own custom LLMs and improve the quality of your GenAI applications. dbricks.co/43xaCMj
New #AI models continue to quickly emerge. Looking at the new @DbrxMosaicAI / @databricks model, #DBRX. They claim it's the best-in-class open weight #LLM vs. #LLaMA, #Mistral. A mixture of expert (#MoE) model w/ 132B parameters + 32B context length and trained for 12T tokens.
Today we released an open source model, DBRX, that beats all previous open source models on the standard benchmarks. The model itself is a Mixture of Experts (MoE), that's roughly twice the brains (132B) but half the cost (36B) of Llama2-70B. Making it both smart and cheap. Since…
At Databricks, we've built an awesome model training and tuning stack. We now used it to release DBRX, the best open source LLM on standard benchmarks to date, exceeding GPT-3.5 while running 2x faster than Llama-70B. databricks.com/blog/introduci…
Meet DBRX, a new sota open llm from @databricks. It's a 132B MoE with 36B active params trained from scratch on 12T tokens. It sets a new bar on all the standard benchmarks, and - as an MoE - inference is blazingly fast. Simply put, it's the model your data has been waiting for.
How can we reduce the deploy cost of LLMs by 100x? From GPUs to MLSys, from MoEs to Speculative Decoding, in this blog post, we give a full-stack examination of transformer inference optimization yaofu.notion.site/Towards-100x-S…
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