Vincent D. Warmerdam – Scikit-Learn can do THAT?! https://
bit.ly/47MRI6f
#AI #MachineLearning #DeepLearning #LLMs #DataScience
MACHINE LEARNING
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Scikit-Learn Surprising Capabilities in Machine Learning
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How Artificial Intelligence Could Transform The AIDS Fight
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How Artificial Intelligence Could Transform The AIDS Fight
#AI #AIio #BigData #ML #NLU #Futureofwork @IIoT_World @ipfconline1 @jblefevre60 @JimMarous @insurtechtalk @KirkDBorne @kuriharan @LouisSerge http://
ow.ly/p5UL30sH90r -
Improving Probabilistic Reasoning in Large Language Models
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Today on the blog, we discuss how we improved the probabilistic reasoning capabilities of LLMs. By incorporating real-world context and simplifying assumptions, we show that these models can make more accurate inferences about distributions. Learn more at: https://t.co/aJC436vcKf pic.twitter.com/anDZZANXEx
— Google AI (@GoogleAI) 21 octobre 2024Today on the blog, we discuss how we improved the probabilistic reasoning capabilities of LLMs. By incorporating real-world context and simplifying assumptions, we show that these models can make more accurate inferences about distributions. Learn more at: https://
goo.gle/4dUkzH8 -
NaturalBench: Vision-Centric VQA Benchmark for Compositional Reasoning
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NaturalBench is a robust, vision-centric, bias-free VQA benchmark for evaluating compositional reasoning in visual language models(VLMs). A whole thread about NaturalBench and why it is an important benchmark in multimodal community
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Optimize SLM Inference Speed with FP8 and Turbo LoRA
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Speed matters when it comes to #inference -> better throughput means reduced #latency and cost Save your spot for our upcoming webinar to learn how you can optimize your #SLM deployments to improve throughput by 4x with #FP8 and Turbo LoRA, our new #finetuning technique that
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Google ML Researchers Win Award for Wildfire Spread Prediction
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Google Researchers won the Harry C. Bigglestone Award for work using #MachineLearning to predict wildfire spread — a prestigious award from Fire Technology for contributing critical concepts & approaches to the wildfire community. Learn more → https://
nfpa.org/about-nfpa/awa
rds/harry-c-bigglestone-award
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Foundation Models for Single Cell RNA Sequencing Analysis
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A primer on scRNA-seq foundation models https://
bit.ly/3TMbngz
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
5 Skills You No Longer Need to Learn With AI
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How AI can save you time: Here are 5 skills you no longer need to learn
#AI #AIio #BigData #ML #NLU #Futureofwork @ahier @guzmand
@DavidBrin @denisegarth @dez_blanchfield @diioannid @DioFavatas @gerald_bader http://
ow.ly/gRgt30sH90n -
Knowledge Distillation with Llama 3.1 405B: Fine-tuning and Synthetic Data
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New video – Knowledge Distillation with Llama 3.1 405B. In this extended discussion, @nazeri2010 & @subramen delve into the importance of fine-tuning — and how Llama 405B can be used to generate synthetic data. Full video on YouTube https://
youtu.be/kxx6TfpAkEU -
Eight Basic Rules for Causal Inference in Machine Learning
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Eight basic rules for causal inference | Peder M. Isager https://
bit.ly/3TTuvJF
#AI #MachineLearning #DeepLearning #LLMs #DataScience