Vivek Raghunathan (@vivek7ue) 's Twitter Profile
Vivek Raghunathan

@vivek7ue

* AI + search at @snowflakedb.
* Co-founder @Neeva (acquired by @snowflakedb). #NeevaAI = AI search engine with LLMs.
* Ex-VP of Engineering @Google

ID: 815659822435606528

linkhttps://www.linkedin.com/in/raghunathanvivek/ calendar_today01-01-2017 20:43:50

946 Tweet

4,4K Followers

1,1K Following

Snowflake (@snowflakedb) 's Twitter Profile Photo

At Snowflake, we're making it easier than ever for customers to implement RAG while also enabling strict governance and privacy controls. That’s why we’re investing in Contextual AI—a powerful, end-to-end RAG solution that delivers highly accurate responses. With Contextual AI

At Snowflake, we're making it easier than ever for customers to implement RAG while also enabling strict governance and privacy controls. That’s why we’re investing in <a href="/ContextualAI/">Contextual AI</a>—a powerful, end-to-end RAG solution that delivers highly accurate responses.

With Contextual AI
sridhar (@ramaswmysridhar) 's Twitter Profile Photo

Today, Snowflake Snowpark Container Services is GA in all AWS commercial regions. 🌎 This is an important step in our AI journey, making it even easier for developers to deploy, manage, and scale any component of their AI apps (ML training, LLMs, APIs, and more…) without

Today, <a href="/SnowflakeDB/">Snowflake</a>  Snowpark Container Services is GA in all AWS commercial regions. 🌎

This is an important step in our AI journey, making it even easier for developers to deploy, manage, and scale any component of their AI apps (ML training, LLMs, APIs, and more…) without
Vivek Raghunathan (@vivek7ue) 's Twitter Profile Photo

Personalization of content feeds are a matter of balancing how relevant the content is *to you* and how *popular the content is overall*. Twitter appears to have hit the issue many personalized feeds hit when they optimize purely for engagement -- it's easier to get engagement

Vivek Raghunathan (@vivek7ue) 's Twitter Profile Photo

Arctic embed is the gift that keeps giving. Try it out and tell us what you think! ps. many folks are also using it as a super-efficient LLM for pre-training data quality tasks ...

Vivek Raghunathan (@vivek7ue) 's Twitter Profile Photo

As we see companies like Reddit block search engines from indexing them, time to revisit crawl neutrality for the web ... fastcompany.com/90759792/with-…

Vivek Raghunathan (@vivek7ue) 's Twitter Profile Photo

People don't wake up in the morning and pretend to be AI researchers. People don't wake up in the morning and pretend to be software engineers So why do people wake up in the morning and pretend to be professional investors

sridhar (@ramaswmysridhar) 's Twitter Profile Photo

Data isn’t just for data analysts and SQL experts. Too often, these teams bear the burden of being the go-to for non-technical users, creating a dependency that limits overall operational speed. To truly harness the power of data, it must be accessible to everyone. Today, we are

Snowflake (@snowflakedb) 's Twitter Profile Photo

.Bayer AG is using Cortex Analyst to power self-serve analytics on its enterprise data 📈 Previously, teams had access to the enterprise data platform using dashboards, which often lacked the flexibility to address the increasing number of user questions. Now, using @Streamlit

.<a href="/Bayer/">Bayer AG</a> is using Cortex Analyst to power self-serve analytics on its enterprise data  📈

Previously, teams had access to the enterprise data platform using dashboards, which often lacked the flexibility to address the increasing number of user questions.

Now, using @Streamlit
Vivek Raghunathan (@vivek7ue) 's Twitter Profile Photo

Those cpm estimates sound very high. I’d be surprised if the paid cpms exceed 5$ (specially in a cpm sold world with minimal targeting). cnbc.com/2024/08/22/per…

Cartesia (@cartesia_ai) 's Twitter Profile Photo

Today, we’re unveiling a significant milestone in our journey toward ubiquitous artificial intelligence: AI On-Device. Our team pioneered a radically more efficient architecture for AI with state space models (SSMs). Now, we’ve optimized and deployed them at the edge. We believe

Today, we’re unveiling a significant milestone in our journey toward ubiquitous artificial intelligence: AI On-Device.

Our team pioneered a radically more efficient architecture for AI with state space models (SSMs). Now, we’ve optimized and deployed them at the edge. We believe
Aurick Qiao (@aurickq) 's Twitter Profile Photo

We used Cerebras to train LLM360 models and throughout the process thinking how it would be a perfect fit for inference. Nice to see it come to fruition, and congratulations to the Cerebras team!