Chain-of-table: Evolving tables in the reasoning chain for table understanding

How to leverage LLMs for accurate question answering using input table data?

The blog introduces 'Chain-of-Table,' a novel framework employing chain-of-thought methodology to iteratively navigate tasks, achieving state-of-the-art performance across multiple benchmarks. 
It's a combination of using structure and unstructured data in reasoning process.
By evolving tables within the reasoning chain, we've redefined tabular reasoning, outperforming on WikiTQ, TabFact, and FeTaQA benchmarks. 
Explore more the innovative approach to revolutionize tabular understanding!
#AI #NLP #Research #TableUnderstanding

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Apple's AI Evolution Unveiled: MM1 Model and Beyond

Amidst speculations about Apple's stance in the AI arena, the tech giant has unveiled its latest breakthrough: the MM1 – a family of multimodal large language models (MLLMs). This announcement positions Apple's AI capabilities to rival industry-leading models such as Google's Gemini and OpenAI's GPT-4.

The MM1 model represents a significant stride in multimodal AI, seamlessly integrating text and image data to train large language models. Notably, Apple's move towards transparency with this release marks a departure from its renowned secrecy.

With the capacity to support 30 billion parameters, MM1 enables in-context predictions, multi-image comprehension, and chain-of-thought reasoning, setting a new standard in AI sophistication. Researchers report achieving state-of-the-art few-shot results across various benchmarks, hinting at even greater potential.

However, Apple's AI endeavors extend beyond MM1. Recent reports suggest potential collaboration with Google's Gemini to power future iPhone AI features, reflecting Apple's strategic expansion in the AI ecosystem. Additionally, rumors swirl about forthcoming AI-enhanced products, including Siri upgrades for iOS 18 and AI-driven features for Apple Music, Pages, and Keynote.

Behind the scenes, Apple's investment of approximately $1 billion annually in large language models underscores its commitment to AI innovation. The recent acquisition of generative AI startup DarwinAI further fortifies its AI arsenal, promising faster and more efficient LLMs.

As anticipation mounts for Apple's worldwide developers conference in June, the stage is set for a significant AI announcement. With MM1 as a testament to its AI prowess and strategic partnerships on the horizon, Apple stands poised to redefine the landscape of AI-driven technology. Stay tuned for the next chapter in Apple's AI evolution.

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AI tool to predict side effects of treatment in breast cancer patients

A new AI tool developed by international medical experts predicts the likelihood of breast cancer patients developing chronic arm swelling, or lymphedema, post-treatment. Analyzing data from thousands of patients, the tool forecasts side-effects up to three years after surgery and radiotherapy by considering factors like chemotherapy history and treatment type. Presented at the European Breast Cancer Conference, this innovation allows healthcare providers to tailor treatment plans, reducing complications and improving patient care. As it undergoes further validation, this AI technology shows promise in revolutionizing breast cancer care globally with personalized insights and improved outcomes.

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