Building and Customizing GenAI with Databricks: LLMs and Beyond
databricks
JANUARY 22, 2024
Generative AI has opened new worlds of possibilities for businesses and is being emphatically embraced across organizations. According to a recent MIT Tech.
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Modernizing mainframe applications with a boost from generative AI
IBM Journey to AI blog
JANUARY 11, 2024
To achieve business agility and keep up with competitive challenges and customer demand, companies must absolutely modernize these applications. While many cool possibilities are emerging in this space, there’s a nagging “hallucination factor” of LLMs when applied to critical business workflows.
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Beyond prompting: getting production quality LLM performance with Snorkel Flow
Snorkel AI
AUGUST 9, 2023
Large Language Models ( LLMs ) have grown increasingly capable in recent years across a wide variety of tasks. Building upon these foundations to create production-quality applications requires further development. In this blog post, we’ll look specifically at the task of extracting “product resistances” for rugs.
Beyond prompting: getting production quality LLM performance with Snorkel Flow
Snorkel AI
AUGUST 9, 2023
Large Language Models ( LLMs ) have grown increasingly capable in recent years across a wide variety of tasks. Building upon these foundations to create production-quality applications requires further development. In this blog post, we’ll look specifically at the task of extracting “product resistances” for rugs.
Amazon EC2 DL2q instance for cost-efficient, high-performance AI inference is now generally available
AWS Machine Learning Blog
NOVEMBER 22, 2023
With eight Qualcomm AI 100 Standard accelerators and 128 GiB of total accelerator memory, customers can also use DL2q instances to run popular generative AI applications, such as content generation, text summarization, and virtual assistants, as well as classic AI applications for natural language processing and computer vision.
LLMOps vs. MLOps: Understanding the Differences
Iguazio
FEBRUARY 8, 2024
But a successful deployment of LLMs has to go beyond prototyping, which is where LLMOps comes into play. LLMOps is MLOps for LLMs. It’s about ensuring rapid, streamlined, automated and ethical deployment of LLMs to production. LLMOps focuses specifically on the operational aspects of large language models (LLMs).
The journey of PGA TOUR’s generative AI virtual assistant, from concept to development to prototype
AWS Machine Learning Blog
MARCH 14, 2024
Generative artificial intelligence (generative AI) has enabled new possibilities for building intelligent systems. Recent improvements in Generative AI based large language models (LLMs) have enabled their use in a variety of applications surrounding information retrieval. The SQL is run by Amazon Athena to return the relevant data.
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