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.
building-custom-genai-llms-and-beyond Blog Related Topics 
101 
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.
Join 5,000+
professionals
Sign Up for our Newsletter
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Trending Sources
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.
Unlock the potential of generative AI in industrial operations
AWS Machine Learning Blog
MARCH 19, 2024
Real-time data is critical for applications like predictive maintenance and anomaly detection, yet developing custom ML models for each industrial use case with such time series data demands considerable time and resources from data scientists, hindering widespread adoption.
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.
Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock
AWS Machine Learning Blog
DECEMBER 6, 2023
Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback.
Let's personalize your content