Capgemini Research Institute Report: The Property and Casualty Insurance Sector in the Age of AI https://actuia.com/actualite/rapport-capgemini-research-institute-le-secteur-de-lassurance-iard-a-lere-de-lia/
… #AI #ArtificialIntelligence
RESEARCH
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Property and Casualty Insurance and Artificial Intelligence: Capgemini Report
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Promising AI Approach Gains Traction After Public Discussion
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I enjoyed the HN conversation about it – looks promising to me https://
news.ycombinator.com/item?id=400676
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… Love the clarity of the write-up. I expect we will see if the approach has legs within a month or two now that the information is out there -
Gemini 1.5 Pro In-Context Learning Scaling Techniques
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It's been quite interesting to study how Gemini 1.5 Pro scales its in-context learning (ICL) from few to many shots. I found our experiments that avoid using hand-labeled examples with Reinforced ICL, and Unsupervised ICL (i.e. shots are input examples only), particularly neat.
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VASA-1: AI talking avatar from a photo
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Ceci est un avatar "parlant" créé à partir uniquement d'une photo de la personne et qui agit comme un "masque".
— Defend Intelligence (Anis Ayari) (@DFintelligence) 18 avril 2024
En bref, vous mettez votre caméra, votre micro, vous choisissez le visage que vous voulez avoir et BOOM.
Il s'agit d'un modèle d'IA de Microsoft intitulé "VASA-1".… pic.twitter.com/RJSo8NWZOVThis is a "talking" avatar created solely from a photo of the person and acting as a "mask". In short, you turn on your camera, your microphone, choose the face you want, and BOOM. This is a Microsoft AI model called "VASA-1".
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Current State of AI: Comprehensive Summary and Overview
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A good summary on the current state of AI
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GPT-4 Training Cost Estimates Questioned
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most estimates have gpt4 all-in cost at least 9 digits. idk how they calculated the compute
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Optimizing ML Algorithm Time Complexity for AI Projects
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Decoding the time complexity of ML algorithms can optimize your AI projects! For more in-depth analysis, follow @ingliguori and boost your expertise with 'The Digital Edge' https://
bit.ly/3u4pILl #MachineLearning #DataScience #AI -
Training LLMs: Avoiding Default Mode Through Data Curation
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First you’d teach the model quite a bit from recent content (w/ tons of LLM outputs in it it’s likely, if we were to train this in normally, the LLM will likely get stuck in that default LLM ‘mode’ we know so well + make it harder to break out of this w/ post-training) So
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Training Strategy: Pre-2021 Data Priority Over AI-Generated Content
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With all the AI-generated content flooding the web There might be something to first training on content from 2021-on And then continuing to train on pre-2021 content
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Data is All You Need: Large Robot Action Models and Engineering
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Looking fwd to presenting a new talk: "Data is All You Need: Large Robot Action Models and Good Old Fashioned Engineering" @Stanford Robotics Seminar on Friday: https://
stanfordasl.github.io/robotics_semin
ar/
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