Categories: AI/ML Research

Zero-Shot and Few-Shot Learning with Reasoning LLMs

As large language models have already become essential components of so many real-world applications, understanding how they reason and learn from prompts is critical.
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Recent Posts

Wan 2.2 human image generation is very good. This open model has a great future.

submitted by /u/yomasexbomb [link] [comments]

19 hours ago

Your First Containerized Machine Learning Deployment with Docker and FastAPI

Deploying machine learning models can seem complex, but modern tools can streamline the process.

19 hours ago

Mistral-Small-3.2-24B-Instruct-2506 is now available on Amazon Bedrock Marketplace and Amazon SageMaker JumpStart

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…

19 hours ago

AI vs. AI: Prophet Security raises $30M to replace human analysts with autonomous defenders

Prophet Security raises $30 million to launch a fully autonomous AI cybersecurity platform that investigates…

20 hours ago

To explore AI bias, researchers pose a question: How do you imagine a tree?

To confront bias, scientists say we must examine the ontological frameworks within large language models—and…

20 hours ago

Be honest: How realistic is my new vintage AI lora?

No workflow since it's only a WIP lora. submitted by /u/I_SHOOT_FRAMES [link] [comments]

2 days ago