Tom Christian

Occasionally analytical data person. ❄️ @SnowflakeDB, ⚽️ #LFC, 👾 #Gaming, 📈 #DataViz (not on here)

[Tom Christian @TomAndDone]

@2K @Borderlands @GearboxOfficial PS5 🫡

[Snowflake @Snowflake]

Snowflake now offers an endpoint with drop in compatibility for OpenAI SDK so that you can easily build your existing workloads on Snowflake’s inference backend. #SnowflakeSummit

With this endpoint, you can keep your existing code written for OpenAI SDK and change only the:
- API KEY
- BASE_URL
- MODEL_NAME (if needed)

[Snowflake @Snowflake]

We’re bringing BIG updates to our AI Data Cloud, with something for everyone -- and there's a lot.

For the TLDR version, here is your quick rundown on what you need to know and you can dive into all we've introduced at #SnowflakeSummit right over here 👉 https://t.co/cjG5qYsD3w

[Snowflake @Snowflake]

Cortex Analyst, our fully managed service that provides a conversational interface to structured data in Snowflake, is now in public preview! Building reliable, self-service analytics applications that business users can trust has never been easier.

Trust is key for the adoption of any self-serve analytics solution, and Cortex Analyst delivers with exceptional text-to-sql accuracy. By leveraging an agentic AI setup—powered by state-of-the-art Snowflake-hosted LLMs from @MistralAI and @AIatMeta a robust semantic model, Cortex Analyst achieves over 90% text-to-SQL accuracy.

[Snowflake @Snowflake]

We're excited to announce that Snowflake is teaming up with @AIatMeta to offer the new flagship model in Snowflake Cortex AI. This partnership allows us to host the Llama-3.1 family of multilingual open-source large language models (LLMs) in Snowflake Cortex AI, including the powerful Llama-3.1-405B.

Enterprises can now access Meta’s latest models in the Snowflake AI Data Cloud for enhanced speed, efficiency, and built-in trust and safety. Llama-3.1 excels in several key areas including long document processing with a 128k token context window, advanced multilingual apps across 10 languages, synthetic data generation, and model distillation.

Learn how you can securely integrate your data with these advanced models for AI app development ⤵️

[Snowflake @Snowflake]

Stitching together fragmented MLOps tools can be a headache to manage and scale.

We are launching a suite of centralized MLOps capabilities for faster management of features and models on the same platform as your governed data. This includes the Snowflake Model Registry in general availability, Snowflake Feature Store in public preview and ML lineage in private preview.

[Streamlit @streamlit]

Did you know #KnowledgeGraphs can help enhance the retrieval abilities of an LLM?

Learn more at our virtual meetup where Leann Chen will demo building a knowledge graph #RAG with Streamlit and Diffbot.

📅 05/30 from 4 - 5 PM PT
📍 https://t.co/oZOioVcurY

[Vivek Raghunathan @vivek7ue]

A lot of the insider knowledge on how to build an LLM has gone underground in the last 24 months.

We promised to build #SnowflakeArctic in the open, and here we are, with the third edition of our cookbook series, this time on data ...

Data ablations are the lifeblood of any LLM training run, whether processing, filtering, deduping, data composition, or schedule.

To read about our data approach to Arctic, see the blog below

[sridhar @RamaswmySridhar]

.@SnowflakeDB is thrilled to announce #SnowflakeArctic: A state-of-the-art large language model uniquely designed to be the most open, enterprise-grade LLM on the market.

This is a big step forward for open source LLMs. And it’s a big moment for Snowflake in our #AI journey as we continue to build best-in-class enterprise-grade products for our customers. The era of enterprise AI is here. 🚀

[Snowflake @Snowflake]

Just launched! The snowflake-arctic-embed family of models - the world’s best practical text-embedding model for retrieval use cases. Outperforms all others in the same size category including those from OpenAI and Cohere.

[Tom Christian @TomAndDone]

@TweetAndrewAk You wanted us to win it too, eh?

(And City’s run in is just straight forward from here, 100% done)

[sridhar @RamaswmySridhar]

Together with @RekaAILabs, we’re bringing the power of multimodal AI to @SnowflakeDB Cortex to help customers unlock the power of #AI on all types of data.
https://t.co/6aHTt7MXDc

[Snowflake @Snowflake]

We’re excited to announce a global partnership to bring @MistralAI's most powerful language models directly to Snowflake customers in the Data Cloud. 

Learn more about how Snowflake users can leverage AI with their enterprise data: https://t.co/gGWmXbZ3ll

[Snowflake @Snowflake]

We just added 4 more regions on @awscloud for customers to securely run #AI and #ML workloads using GPU infrastructure!

Need ideas on how to use #Snowpark Container Services? Check out the recent announcement blog: https://t.co/uvnbWqpsB7

[Snowflake @Snowflake]

Snowpark Container Services now available on select AWS cloud regions in public preview 🎉

Read on for what’s new with this announcement and learn how you can sign up to get an alert when new regions go live!

https://t.co/TpsmPrsvv0

[Streamlit @streamlit]

Generating SQL Queries Using AI Agents https://t.co/LJTCJvhYPL

[Snowflake @Snowflake]

A lot of innovations that bring Snowflake’s ease-of-use, security and governance to the #GenAI world were announced today.

Here are three things you need to know, 🧵:

[sridhar @RamaswmySridhar]

Tomorrow, the future of AI ⚡️⚡️@SnowflakeDB unfolds.

Are you ready?!

Register now. https://t.co/hsckIpkw9m

[Charly Wargnier @DataChaz]

Excited to share my very first blog post on @Medium! 🎉

If you're curious about designing, debugging, and optimizing @Streamlit apps with @OpenAI's #GPT4, this one's for you! 🔥

🔗 https://t.co/p00JaUtNQ8

[Streamlit @streamlit]

🚀 Announcing the Streamlit LLM Hackathon!

Ready to blaze the trail with large language models? Join the LLM Hackathon Sep 5-19 and create innovative apps with leading technologies.

https://t.co/Z4QxkRPOrn

Keep reading for more info!

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