Every company, large or small, needs to choose software, and the bigger the company, the more complex the exercise.
Some have internal tools and processes to help narrow down the list of possible vendors and eventually make a selection.
“Taloflow replaces homegrown technology and software selection processes that can last weeks or months,” the startup’s CEO and co-founder, Louis-Victor Jadavji, told TechCrunch.
“Unlike Gartner or G2, which offer mostly generic insights, Taloflow creates tailored reports for specific use cases,” he said.
Taloflow has built large language models that sift through publicly available information and speed up the time and cost of generating the base reports.
OpenAI is expanding a program, Custom Model, to help enterprise customers develop tailored generative AI models using its technology for specific use cases, domains and applications.
“Dozens” of customers have enrolled in Custom Model since.
As for custom-trained models, they’re custom models built with OpenAI — using OpenAI’s base models and tools (e.g.
Fine-tuned and custom models could also lessen the strain on OpenAI’s model serving infrastructure.
Alongside the expanded Custom Model program and custom model building, OpenAI today unveiled new model fine-tuning features for developers working with GPT-3.5, including a new dashboard for comparing model quality and performance, support for integrations with third-party platforms (starting with the AI developer platform Weights & Biases) and enhancements to tooling.
Artificial General Intelligence (AGI) — often referred to as “strong AI,” “full AI,” “human-level AI” or “general intelligent action” — represents a significant future leap in the field of artificial intelligence.
Huang, however, spent some time telling the press what he does think about the topic.
He suggests that the tests could be a legal bar exam, logic tests, economic tests or perhaps the ability to pass a pre-med exam.
AI hallucination is solvableIn Tuesday’s Q&A session, Huang was asked what to do about AI hallucinations – the tendency for some AIs to make up answers that sound plausible, but aren’t based in fact.
He appeared visibly frustrated by the question, and suggested that hallucinations are solvable easily – by making sure that answers well-researched.
UnitedHealth says Change Healthcare hacked by nation state, as pharmacy outages drag onU.S. health insurance giant UnitedHealth Group said Thursday in a filing with government regulators that its subsidiary Change Healthcare was compromised likely by government-backed hackers.
In a filing Thursday, UHG blamed the ongoing cybersecurity incident affecting Change Healthcare on suspected nation state hackers but said it had no timeframe for when its systems would be back online.
UHG did not attribute the cyberattack to a specific nation or government, or cite what evidence it had to support its claim.
Change Healthcare provides patient billing across the U.S. healthcare system.
Change Healthcare has not yet disclosed the specific nature of its cyberattack.
In the past several years, the kitchen has increasingly become a focal point for the world of automation.
Others, including Zume Robotics, have been less successful – the pizza robot firm shut its doors last year after attempting a major pivot into Earth-conscious food packaging.
The new cash infusion follows a January 2021 raise of $7.7 million, bringing the total funding up to $22.5 million.
MaC Venture Capital, MFV Partners, Interwoven Ventures and Alumni Ventures joined existing backers, Construct Capital, Kleiner Perkins, Promus Ventures and Red and Blue Ventures.
Chef isn’t revealing specific sales figures, only saying that it has “robots at food companies in five cities around the US and Canada” including “Fortune 500 food companies.” Bhageria also tells TechCrunch that it has quadrupled “recurring revenue from 2022 to 2023,” though, again, nothing more specific than that.
