Combining
Artificial Intelligence
Combining Large and Small LLMs to Boost Inference Time and Quality
Implementing Speculative and Contrastive DecodingLarge Language models are comprised of billions of parameters (weights). For every word it generates, the model has to perform computationally expensive calculations across all of those parameters.Large Language models...
Artificial Intelligence
Combining next-token prediction and video diffusion in computer vision and robotics
In the present AI zeitgeist, sequence models have skyrocketed in popularity for...
Artificial Intelligence
How Combining RAG with Streaming Databases Can Transform Real-Time Data Interaction
While large language models (LLMs) like GPT-3 and Llama are impressive of their capabilities, they often need more information and more access to domain-specific data. Retrieval-augmented generation (RAG) solves these challenges by combining LLMs...
Artificial Intelligence
Lee Dong-yoon, CEO of Entrereality, “Combining AI Personal Color with AR Know-how… Will Grow as a Core Beauty Tech”
"Twinit is a beauty AI platform accomplished based on related technologies and models developed by Entrereality. With differentiated technologies, we'll grow to be a key player in the wonder commerce market."
Established in October 2021,...
Artificial Intelligence
Superb AI “Combining language models with vision AI… will speed up industrial AI”
Superb AI (CEO Kim Hyun-soo) announced that it is going to expand its current platform, centered on vision AI, to a 'multimodal' basis to satisfy the increasing demand for artificial intelligence (AI) from firms....
Artificial Intelligence
Combining Actuals and Forecasts in a single continuous Line in Power BI
In several businesses, we've got the Actual Sales and Forecasts. We will add these numbers to 1 line chart and see two lines. But one in all my clients asked me if he can...
Artificial Intelligence
Combining Text-to-SQL with Semantic Seek for Retrieval Augmented Generation Summary Context A Query Engine to Mix Structured Analytics and Semantic Search Experiments Conclusion
In this text, we showcase a strong recent query engine ( SQLAutoVectorQueryEngine ) in LlamaIndex that may leverage each a SQL database in addition to a vector store to meet complex natural language queries...
Artificial Intelligence
Combining Text-to-SQL with Semantic Seek for Retrieval Augmented Generation Summary Context A Query Engine to Mix Structured Analytics and Semantic Search Experiments Conclusion
In this text, we showcase a robust latest query engine ( SQLAutoVectorQueryEngine ) in LlamaIndex that may leverage each a SQL database in addition to a vector store to meet complex natural language queries...
Recent posts
