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Research Insight Just read a new arXiv paper on improving Transformer efficiency with sparse attention. Key takeaway: Cuts compute by ~30% without accuracy loss! 📄 This could be huge for edge AI. Thoughts? Agree or overhyped? #AIResearch #machinelearningblog
Interactive Poll What’s the biggest hurdle in training Transformers? 🧠 Let’s discuss your solutions! 🚀 #AI #machinelearningblog
Want to master Gradient Descent? 📉 It’s the core of training ML models! Let’s break it down in 5 tweets for beginners & pros alike. 🧠 Ready to optimize like a pro? Follow this thread! 👇 #AIExplained #machinelearningblog
Step 3: Positional Encoding. Since Transformers don’t process data sequentially, they add ‘position’ info to know word order. Example: “Dog chases cat” ≠ “Cat chases dog.” Smart, right? 😎 #AIResearch #machinelearningblog
Step 1: What’s Gradient Descent? It’s an algorithm to minimize a model’s loss function (error). Think of it like hiking down a hill to find the lowest point. 🏞️ The “gradient” tells you the steepest path down. #AI #machinelearningblog
Step 1: What’s an AI Agent? It’s an AI that doesn’t just answer questions—it makes decisions and takes actions. Example: Booking a meeting by checking your calendar, emailing, and confirming. Like a virtual assistant on steroids! 💪 #AI #machinelearningblog
Step 3: Learning Rate. This controls how big your steps are down the hill. Too big? You overshoot. Too small? You’re slow. Example: lr=0.01 is common for neural nets. What’s your go-to learning rate? 🤔 #machinelearningblog
Step 2: How it works. Start with random model weights. Compute the gradient (slope) of the loss function. Update weights in the opposite direction to reduce error. Repeat until you hit the minimum! 🔄 #AIExplained #DeepLearning #machinelearningblog
Check out how Tealium built a chatbot evaluation platform with Ragas and Auto-Instruct using AWS generative AI services! AWS is revolutionizing the way we evaluate and improve AI systems. #AWS #MachineLearningBlog aws.amazon.com/blogs/machine-…
aws.amazon.com
How Tealium built a chatbot evaluation platform with Ragas and Auto-Instruct using AWS generative...
In this post, we illustrate the importance of generative AI in the collaboration between Tealium and the AWS Generative AI Innovation Center (GenAIIC) team by automating the following: 1/ Evaluating...
Excited to learn how to automate email responses using Amazon Bedrock Agents, Knowledge Bases, and Guardrails! Enhance customer satisfaction and operational efficiency with AI-powered solutions. #AWS #MachineLearningBlog aws.amazon.com/blogs/machine-…
aws.amazon.com
Automate emails for task management using Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases,...
In this post, we demonstrate how to create an automated email response solution using Amazon Bedrock and its features, including Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon...
Excited to learn about deploying Meta's latest Llama models using vLLM on Amazon EC2 instances with AWS AI chips! Check out this step-by-step guide on how you can host LLMs for high performance inference and scalability. #AWS #MachineLearningBlog aws.amazon.com/blogs/machine-…
aws.amazon.com
Serving LLMs using vLLM and Amazon EC2 instances with AWS AI chips | Amazon Web Services
The use of large language models (LLMs) and generative AI has exploded over the last year. With the release of powerful publicly available foundation models, tools for training, fine tuning and...
Step 4: Types of Gradient Descent. Batch (all data), Stochastic (one sample), Mini-batch (small groups). Each balances speed & accuracy. Which do you use? Share tips or ask me a question! 👇 #AI #GradientDescent #machinelearningblog
Step 4: Why Transformers Rule. They’re fast (parallel processing!), handle long sequences, and power NLP tasks like chatbots & translation. Want to dive deeper? Ask me a question or share your favorite Transformer use case! 👇 #AI #Transformers #machinelearningblog
Check out the new Amazon Bedrock Data Automation capabilities on the AWS Machine Learning Blog! Streamline video and audio analysis to boost efficiency and generate custom insights. #AWS #MachineLearningBlog #AmazonBedrockDataAutomation aws.amazon.com/blogs/machine-…
aws.amazon.com
New Amazon Bedrock Data Automation capabilities streamline video and audio analysis | Amazon Web...
Amazon Bedrock Data Automation helps organizations streamline development and boost efficiency through customizable, multimodal analytics. It eliminates the heavy lifting of unstructured content...
yet another interesting #MachineLearningBlog (by Cloudera Fast Forward Labs) blog.fastforwardlabs.com
Let me know if we’ve missed any out 🙌 #machinelearning #machinelearningblog #ArtificialIntelligence #ai #DeepLearning #bigdata #datascience
We've done some digging and found the best #Research and #Non-profit #newsletters in the #AI field to #subscribe to ow.ly/DU5k30m0LrR @turinginst @techreview @NYUDataScience @OpenAI @berkeley_ai @MIRIBerkeley @ODIHQ @acm_sigai @thecityai @AI4Good @FHIOxford @gradientpub
Interesting #MachineLearningBlog by #reddit #MachineLearning #DeepLearning reddit.com/r/MachineLearn…
"Imagine having an army of wordsmiths at your beck and call, churning out high-quality content without breaking a sweat! Automated blogging machines a... check out: ratherpretty.com/automated-blog… #AIContentCreation #AutomatedBlogging #MachineLearningBlog ...
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