Copilot, the AI assistant baked into Windows 11, is getting some enhancements for more robust text and image generation, Microsoft said in a press release on Tuesday.
GPT-4 Turbo, the latest AI model by OpenAI, creators of ChatGPT, will be coming to Windows 11 in the coming weeks. Along with GPT-4 Turbo, Dall-E 3, a text-to-image generator also made by OpenAI, will be making its way to Microsoft’s operating system. Both of these new models will allow for smarter and more robust text and image generation with fewer errors. — Read More
Recent Updates Page 146
Meta-IBM alliance promotes ‘open’ approach to AI development
The 50-member AI Alliance aims to push for responsible AI. Notably, Google, Microsoft, and OpenAI are not involved.
Artificial intelligence is one of the technologies that’s seen the most growth this year, but as a certain famous arachnid knows, with great power comes great responsibility. As AI continues to grow, different sectors, organizations, and companies are calling for stronger regulations and transparency regarding the development and use of AI. Meta and IBM are now allied in this cause. — Read More
Mistral 7B is 187x cheaper compared to GPT-4
Mistral 7B is a transformer model designed for fast inference and handling longer sequences. It achieves this by utilizing grouped-query attention and sliding-window attention. Group query attention combines multi-query and multi-head attention to balance output quality and speed. Sliding-window attention extends context length by looking beyond the window size. Mistral 7B offers an 8,000-token context length, delivering low latency, high throughput, and strong performance in comparison to larger models. It also has low memory requirements at a 7B model size. This model is freely available under the permissive Apache 2.0 license without usage restrictions. — Read More
Unlocking new AI translation capabilities with a suite of publicly available models
Seamless merges the quality and multilinguality of SeamlessM4T v2, the low latency of SeamlessStreaming and the expression preservation of SeamlessExpressive into one unified system. It’s the first streaming translation model to maintain both vocal style and prosody, which can be particularly challenging in streaming, where the system only has access to partial input. — Read More
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[1hr Talk] Intro to Large Language Models
Orca 2: Teaching Small Language Models How to Reason
Orca 1 learns from rich signals, such as explanation traces, allowing it to outperform conventional instruction-tuned models on benchmarks like BigBench Hard and AGIEval. In Orca 2, we continue exploring how improved training signals can enhance smaller LMs’ reasoning abilities. Research on training small LMs has often relied on imitation learning to replicate the output of more capable models. We contend that excessive emphasis on imitation may restrict the potential of smaller models. We seek to teach small LMs to employ different solution strategies for different tasks, potentially different from the one used by the larger model. For example, while larger models might provide a direct answer to a complex task, smaller models may not have the same capacity. In Orca 2, we teach the model various reasoning techniques (step-by-step, recall then generate, recall-reason-generate, direct answer, etc.). More crucially, we aim to help the model learn to determine the most effective solution strategy for each task. We evaluate Orca 2 using a comprehensive set of 15 diverse benchmarks (corresponding to approximately 100 tasks and over 36,000 unique prompts). Orca 2 significantly surpasses models of similar size and attains performance levels similar or better to those of models 5-10x larger, as assessed on complex tasks that test advanced reasoning abilities in zero-shot settings. make Orca 2 weights publicly available at this http URL to support research on the development, evaluation, and alignment of smaller LMs. — Read More
ChatGPT for chemistry: AI and robots join forces to build new materials
An autonomous system that combines robotics with artificial intelligence (AI) to create entirely new materials has released its first trove of discoveries. The system, known as the A-Lab, devises recipes for materials, including some that might find uses in batteries or solar cells. Then, it carries out the synthesis and analyses the products — all without human intervention. Meanwhile, another AI system has predicted the existence of hundreds of thousands of stable materials, giving the A-Lab plenty of candidates to strive for in future. — Read More
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Giskard: The testing framework dedicated to ML models, from tabular to LLMs
Giskard is a Python library that automatically detects vulnerabilities in AI models, from tabular models to LLM, including performance biases, data leakage, spurious correlation, hallucination, toxicity, security issues and many more.
It’s a powerful tool that helps data scientists save time and effort drilling down on model issues, and produce more reliable and trustworthy models. — Read More
Why do AI Wrappers get a bad (w)rap?
AI wrappers are tools that send info to an AI API and give you the output. That’s the simple version.
There’s a lot of hate (and jealousy) out there that you shouldn’t build one, they’re not real businesses, you’re not providing value, yadda yadda yadda.
But, plenty of people are making a ton of money from them. That’s business. — Read More
Sports Illustrated Published Articles by Fake, AI-Generated Writers
We asked them about it — and they deleted everything.
There was nothing in Drew Ortiz’s author biography at Sports Illustrated to suggest that he was anything other than human.
“Drew has spent much of his life outdoors, and is excited to guide you through his never-ending list of the best products to keep you from falling to the perils of nature,” it read. “Nowadays, there is rarely a weekend that goes by where Drew isn’t out camping, hiking, or just back on his parents’ farm.”
The only problem? Outside of Sports Illustrated, Drew Ortiz doesn’t seem to exist. He has no social media presence and no publishing history. And even more strangely, his profile photo on Sports Illustrated is for sale on a website that sells AI-generated headshots, where he’s described as “neutral white young-adult male with short brown hair and blue eyes.” — Read More
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