Guilt is a highly advantageous quality for society as a whole. It might not prevent initial wrongdoings, but guilt allows humans to judge their own prior judgments as harmful and prevents them from happening again. The internal distress caused by feelings of guilt often—but not always—results in the person taking on some kind of penance …
Read more “AI can evolve to feel guilt—but only in certain social environments”
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Deploying machine learning models can seem complex, but modern tools can streamline the process.
Today, we’re excited to announce that Mistral-Small-3.2-24B-Instruct-2506—a 24-billion-parameter large language model (LLM) from Mistral AI that’s optimized for enhanced instruction following and reduced repetition errors—is available for customers through Amazon SageMaker JumpStart and Amazon Bedrock Marketplace. Amazon Bedrock Marketplace is a capability in Amazon Bedrock that developers can use to discover, test, and use over …
Prophet Security raises $30 million to launch a fully autonomous AI cybersecurity platform that investigates and responds to threats without human intervention, promising 10x faster response times and 96% fewer false positives.Read More
To confront bias, scientists say we must examine the ontological frameworks within large language models—and how our perceptions influence outputs.
No workflow since it’s only a WIP lora. submitted by /u/I_SHOOT_FRAMES [link] [comments]
This post is divided into four parts; they are: • Why Attnetion Matters: Limitations of Basic Seq2Seq Models • Implementing Seq2Seq Model with Attention • Training and Evaluating the Model • Using the Model Traditional seq2seq models use an encoder-decoder architecture where the encoder compresses the input sequence into a single context vector, which the …
Read more “Building a Seq2Seq Model with Attention for Language Translation”
If you’ve worked with data in Python, chances are you’ve used Pandas many times.
Drug discovery is a complex, time-intensive process that requires researchers to navigate vast amounts of scientific literature, clinical trial data, and molecular databases. Life science customers like Genentech and AstraZeneca are using AI agents and other generative AI tools to increase the speed of scientific discovery. Builders at these organizations are already using the fully …
Read more “Build a drug discovery research assistant using Strands Agents and Amazon Bedrock”