Unstructured
26 May

Unstructured

stp2y0 CommentsNews
Briefings highlight generational AI scaleups, startups, and projects. I was fortunate to have chatted with co-founder & CEO Brian Raymond. Read on to learn more about his unconventional path from constitutional design expert to AI, how Unstructured came to be, and why it is a generational company. Unstructured simplifies the process of converting unstructured data into a format usable for AI, specifically focusing on Large Language Models (LLMs). Users simply upload raw files containing natural language to Unstructured's API and receive back clean data, bypassing the need for custom Python scripts, regular expressions, or open-source OCR packages.Why Unstructured is a…
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Evaluating LLMs is a minefield
26 May

Evaluating LLMs is a minefield

stp2y0 CommentsChat-GPT
We have released annotated slides for a talk titled Evaluating LLMs is a minefield. We show that current ways of evaluating chatbots and large language models don't work well, especially for questions about their societal impact. There are no quick fixes, and research is needed to improve evaluation methods.The challenges we highlight are somewhat distinct from those faced by builders of LLMs or by developers interested in comparing between LLMs for adoption. Those challenges are better understood and tackled by evaluation frameworks such as HELM. You can view the annotated slides here.The slides were originally presented at a launch event for…
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AI and analytics convergence key theme at Alteryx Inspire – SiliconANGLE
26 May

AI and analytics convergence key theme at Alteryx Inspire – SiliconANGLE

stp2y0 CommentsGenAI, ,
When generative artificial intelligence burst into the scene in 2022, experts predicted it would harness data to serve specific use cases, such as analytics and domain-specific insight generation. With solutions companies now fully saddled on the gen AI horse, what are the big data landscape signals on the status quo and future expectations? “[Inspire] is our flagship user conference where the future of analytics and AI converge,” said Paula Hansen (pictured), president and chief revenue officer of Alteryx Inc. “At Alteryx, we’re fortunate to call 49% of the global 2000 our customers. This is the event for all of them to learn the latest and greatest and…
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Are weight-loss meds the next wonder drugs?
26 May

Are weight-loss meds the next wonder drugs?

stp2y0 CommentsNews
This article is an installment of Future Explored, a weekly guide to world-changing technology. You can get stories like this one straight to your inbox by subscribing here.If the COVID-19 vaccines were the most significant FDA approvals of the 2020s so far, GLP-1 agonists to treat obesity are a strong runner up.Though these drugs have been used to treat type 2 diabetes for nearly two decades, it wasn’t until 2021 that the FDA approved one of them — Novo Nordisk’s Wegovy (semaglutide) — as a treatment for obesity. Clinical trials showed that people lost 10-20% of their body weight.This was huge.…
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Unveiling MongoDB.Local: Setting the stage for next-gen AI applications – SiliconANGLE
26 May

Unveiling MongoDB.Local: Setting the stage for next-gen AI applications – SiliconANGLE

stp2y0 CommentsChat-GPT, ,
At MongoDB Inc.’s flagship developer conference in New York City last year, I spoke with Chief Executive Dev Ittycheria, who offered his take on the burgeoning generative artificial intelligence wave. Ittycheria predicted that as developers began to experiment with new AI tools, including those within MongoDB’s developer data platform, they’d see productivity gains and would be able to build revolutionary new kinds of applications. This week, MongoDB returns with its annual New York City developer conference, MongoDB.local NYC 2024, which kicks off its world tour of events across 23 cities. I sat down with Ittycheria again recently to hear his…
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NTT expands use of racing data to improve fan experiences
26 May

NTT expands use of racing data to improve fan experiences

stp2y0 CommentsChat-GPT
Join us in returning to NYC on June 5th to collaborate with executive leaders in exploring comprehensive methods for auditing AI models regarding bias, performance, and ethical compliance across diverse organizations. Find out how you can attend here. NTT said its is expanding its innovative use of racing data to improve fan experiences across the NTT Indy Car Series, including this year’s Indianapolis 500.   NTT is the parent company of NTT Data, and they serve together as official technology partner ofIndyCar, Indianapolis Motor Speedway (IMS), the Indianapolis 500, and NASCAR Brickyard weekend.   Through 140-plus sensors on each racecar, NTT Data captures and…
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Robotic system feeds people with severe mobility limitations
26 May

Robotic system feeds people with severe mobility limitations

stp2y0 CommentsGenAI
Cornell researchers have developed a robotic feeding system that uses computer vision, machine learning and multimodal sensing to safely feed people with severe mobility limitations, including those with spinal cord injuries, cerebral palsy and multiple sclerosis. "Feeding individuals with severe mobility limitations with a robot is difficult, as many cannot lean forward and require food to be placed directly inside their mouths," said Tapomayukh "Tapo" Bhattacharjee, assistant professor of computer science in the Cornell Ann S. Bowers College of Computing and Information Science and senior developer behind the system. "The challenge intensifies when feeding individuals with additional complex medical conditions."…
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Data Machina #242
26 May

Data Machina #242

stp2y0 CommentsViral News
AI and Causality. The introduction of OpenAI Sora (simulate real worlds from video understanding) has sparked a bit of a debate among some prominent AI researchers. First, What do AI researchers mean by “causal”?Secondly: Do LLMs have causal reasoning capabilities? Can LLMs learn causality from just real world training data? Can LLMs learn, represent, and understand world models and physics? Judea Pearl - a world’s top researchers in Probabilistic AI, Bayesian Networks, and Causal Inference- once famously said in an interview:Deep Learning -albeit complex and non-trivial- it’s a curve fitting exercise. To build truly Intelligent Machines, teach them cause and…
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Prompting Fundamentals and How to Wield them Effectively
26 May

Prompting Fundamentals and How to Wield them Effectively

stp2y0 CommentsNews
Writing good prompts is the most straightforward way to get value out of large language models (LLMs). However, it’s important to understand the fundamentals even as we apply advanced techniques and prompt optimization tools. For example, there’s more to Chain-of-Thought (CoT) beyond simply adding “think step by step”. Here, I’d like to share some prompting fundamentals to help you get the most out of LLMs. Aside: By know we should know that we need reliable evals before doing any major prompt engineering. Without evals, how would we measure improvements and regressions? Here’s my usual workflow: (i) manually label ~100 eval…
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