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thoughtspot

Embedded analytics in the age of generative AI

Apr 17, 2024 By Vijay Venugopal In ThoughtSpot
Every company around the globe is trying to get in on the GenAI wave to simplify user experiences with natural language. And this is especially true in the realm of data and analytics. Imagine if you could enable all of your marketers to evaluate the performance of their campaigns with a simple question? Or, if you could provide all of your insurance risk managers with the ability to analyze the risk profile of their claims with the power of search and automated insights?
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confluent

Confluent Announces Accelerate with Confluent, a Revamped and Services-Led Partner Program for System Integrators

Apr 16, 2024 By Confluent In Confluent
Reimagined partner program will better enable SIs to drive growth and profitability, while helping customers realise their full potential with data streaming.
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tricentis

Testing generative AI systems and red teaming: An introductory guide

Apr 16, 2024 By Simona Domazetoska In Tricentis
The topic of testing AI and ensuring its responsibility, safety, and security has never been more urgent. Controversy and incidents of AI misuse have increased 26-fold since 2021, highlighting growing concerns. As users quickly find out, AI tools are not infallible; they can make mistakes, display overconfidence, and lack critical questioning. The reality of the market is that AI is prone to error. This is exactly why testing AI is crucial. But how do we test AI?
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Introduction to Gemini in BigQuery

Apr 16, 2024 By Google BigQuery In Google BigQuery
Data practitioners spend much of their time on complex, fragmented and sometimes, repetitive tasks. This limits their ability to focus on strategic insights and maximize the value of their data. Gemini in BigQuery shifts this paradigm by providing AI capabilities that help streamline your workflows across the entire data lifecycle.
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Streamline Your AI Integration: A Deep Dive into Kong AI Gateway

Apr 16, 2024 By Kong In Kong
Join us to learn about the AI Gateway concept and explore the rapidly evolving landscape of large language models (LLMs) in modern applications. With the surge of AI providers and the lack of standardization, organizations face significant challenges in adopting and managing AI services effectively. Kong's AI Gateway, built on the proven Kong Gateway platform, addresses these challenges head-on, empowering developers and organizations to harness the power of AI quickly and securely.
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snowflake

Snowflake Launches the World's Best Practical Text-Embedding Model for Retrieval Use Cases

Apr 16, 2024 By Snowflake AI Research In Snowflake
Today Snowflake is launching and open-sourcing with an Apache 2.0 license the Snowflake Arctic embed family of models. Based on the Massive Text Embedding Benchmark (MTEB) Retrieval Leaderboard, the largest Arctic embed model with only 334 million parameters is the only one to surpass average retrieval performance of 55.9, a feat only less practical to deploy models with over 1 billion parameters are able to achieve.
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iguazio

LLM Metrics: Key Metrics Explained

Apr 16, 2024 By Alexandra Quinn In Iguazio
Organizations that monitor their LLMs will benefit from higher performing models at higher efficiency, while meeting ethical considerations like ensuring privacy and eliminating bias and toxicity. In this blog post, we bring the top LLM metrics we recommend measuring and when to use each one. In the end, we explain how to implement these metrics in your ML and gen AI pipelines.
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