Topbots
AUGUST 22, 2023
Unlike traditional machine learning where outcomes are often binary, LLM outputs dwell in a spectrum of correctness. Therefore, a holistic approach to evaluating LLMs must utilize a variety of approaches, such as using LLMs to evaluate LLMs (i.e., auto-evaluation) and using human-LLM hybrid approaches.
IBM Journey to AI blog
SEPTEMBER 19, 2023
Auto-generated code suggestions can increase developers’ productivity and optimize their workflow by providing straightforward answers, handling routine coding tasks, reducing the need to context switch and conserving mental energy. How does generative AI code generation work?
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NVIDIA
APRIL 3, 2024
NPCs tap up to four AI models to hear, process, generate dialogue and respond. The player’s voice first goes into NVIDIA Riva , a technology that builds fully customizable, real-time conversational AI pipelines and turns chatbots into engaging and expressive assistants using GPU-accelerated multilingual speech and translation microservices.
JUNE 13, 2023
Redfin Photo) “We’ve already found a number of places where AI tools are making our engineers more efficient. The auto-complete and auto-suggestions in Visual Studio Code are pretty good, too, without being annoying. ” We’ve also found ways to use these tools to help us serve customers more efficiently.
IBM Journey to AI blog
JULY 17, 2023
Agent assistance – search and summarization: Customer support agents can use generative AI to improve productivity, empowering them to immediately answer customer questions with automatically generated responses in the users’ channel of choice based on the conversation.
Unite.AI
NOVEMBER 2, 2023
Through the analysis of conversations, AI can provide valuable information to help you comprehensively understand your customers and their journey. Using AI-powered insights, businesses arm themselves with a complete picture of the lead journey, from initial contact to final outcomes, across both digital and offline channels.
Snorkel AI
JUNE 7, 2023
The session highlighted the “last mile” problem in AI applications and emphasized the importance of data-centric approaches in achieving production-level accuracy. Panel – Adopting AI: With Power Comes Responsibility Harvard’s Vijay Janapa Reddi, JPMorgan Chase & Co.’s Catch the sessions you missed!
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