John Snow Labs

FEBRUARY 1, 2025

This session describes a subset of these controls that can be automated with current tools: Automated execution of medical LLM benchmarks during system testing and when monitoring in production, including coverage of medical ethics, medical errors, fairness and equity, safety and reliability using Pacific AI Automating generation and executing of (..)

Automation 52

Automation Generative AI LLM AI Automation 52

ODSC - Open Data Science

OCTOBER 10, 2024

The Evolving LLM Landscape: 8 Key Trends to Watch By looking at sessions as part of the LLM track at ODSC West, we get a pretty good understanding of where the field is going. Here are 8 trends that show what’s big in LLMs right now, and what to expect next. Discover the cutting-edge innovation at ODSC West this October.

LLM 40

LLM Data Science Machine Learning Explainability 40

Snorkel AI

AUGUST 13, 2024

Expanding the breadth of experiences their AI automation system could identify would enable companies to spot emerging trends as early as possible. Through Snorkel Flow, we empowered them to not only label transcripts but to explain the reasoning behind their labels. See what Snorkel option is right for you. Book a demo today.

Data Scientist 52

Data Scientist AI AI NLP 52

Snorkel AI

AUGUST 14, 2024

Expanding the breadth of experiences their AI automation system could identify would enable companies to spot emerging trends as early as possible. Through Snorkel Flow, we empowered them to not only label transcripts but to explain the reasoning behind their labels. See what Snorkel option is right for you. Book a demo today.

Data Scientist 52

Data Scientist AI AI Categorization 52

Unite.AI

JANUARY 16, 2025

This is an innovation enabled by AI and a profound process change that provides new ways of working to the expert humans involved. Can you explain how ConcertAIs Digital Trial Solution works to match cancer patients with life-saving clinical trials? What impact have you seen so far in terms of patient outcomes?

Automation 144

Automation Large Language Models Algorithm AI Modeling 144

Unite.AI

NOVEMBER 28, 2024

This explains why discussing politics or societal issues often leads to disbelief when the other person’s perspective seems entirely different, shaped and reinforced by a stream of misinformation, propaganda, and falsehoods. C reative fields , long thought to be uniquely human domains, are now feeling the impact of AI automation.

Robotics 284

Robotics Algorithm AI AI 284

Unite.AI

DECEMBER 16, 2024

Today, were proud to be the largest and fastest-growing security automation company in the world. Swimlane Turbine is known for combining automation, generative AI, and low-code capabilities. For those unfamiliar, can you explain how these three components work together to enhance security operations?

Automation 130

Automation Large Language Models AI Automation LLM 130

Flipboard

NOVEMBER 26, 2024

Hallucinations in large language models (LLMs) refer to the phenomenon where the LLM generates an output that is plausible but factually incorrect or made-up. The retrieved information is then provided to the LLM, which uses this external knowledge in conjunction with prompts to generate the final output.

Large Language Models 156

Large Language Models LLM Natural Language Processing Responsible AI 156

AWS Machine Learning Blog

OCTOBER 24, 2024

Agentic workflows are a fresh new perspective in building dynamic and complex business use- case based workflows with the help of large language models (LLM) as their reasoning engine or brain. Additionally, agents streamline workflows and automate repetitive tasks. Explain the following code in lucid, natural language to me.

Generative AI 89

Generative AI Large Language Models Explainability LLM 89

AWS Machine Learning Blog

NOVEMBER 19, 2024

Amazon Bedrock Agents enables generative AI applications to execute multistep tasks across internal and external resources. Bedrock agents can streamline workflows and provide AI automation to boost productivity. Analysis follows through survival analysis, gene enrichment, evidence gathering, and radio-genomic associations.

Data Analysis 66

Data Analysis Machine Learning Large Language Models ML 66