Tag: interaction
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Hacker News: The role of developer skills in agentic coding
Source URL: https://martinfowler.com/articles/exploring-gen-ai.html#memo-13 Source: Hacker News Title: The role of developer skills in agentic coding Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This text explores various dimensions related to the integration of Large Language Models (LLMs) in coding through examples of toolchains, usage of GitHub Copilot, and effective practices for leveraging Generative AI…
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Hacker News: Show HN: New Agentic AI Framework in CNCF
Source URL: https://github.com/dapr/dapr-agents Source: Hacker News Title: Show HN: New Agentic AI Framework in CNCF Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Dapr Agents, a developer framework for building scalable AI agent systems that leverage Large Language Models (LLMs). It emphasizes features such as resilience, efficient deployment on Kubernetes, inter-agent…
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Hacker News: The role of developer skills in agentic coding
Source URL: https://martinfowler.com/articles/exploring-gen-ai.html#memo-13 Source: Hacker News Title: The role of developer skills in agentic coding Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This text explores various dimensions related to the integration of Large Language Models (LLMs) in coding through examples of toolchains, usage of GitHub Copilot, and effective practices for leveraging Generative AI…
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Hacker News: Show HN: New Agentic AI Framework in CNCF
Source URL: https://github.com/dapr/dapr-agents Source: Hacker News Title: Show HN: New Agentic AI Framework in CNCF Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Dapr Agents, a developer framework for building scalable AI agent systems that leverage Large Language Models (LLMs). It emphasizes features such as resilience, efficient deployment on Kubernetes, inter-agent…
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Hacker News: Tao: Using test-time compute to train efficient LLMs without labeled data
Source URL: https://www.databricks.com/blog/tao-using-test-time-compute-train-efficient-llms-without-labeled-data Source: Hacker News Title: Tao: Using test-time compute to train efficient LLMs without labeled data Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces a new model tuning method for large language models (LLMs) called Test-time Adaptive Optimization (TAO) that enhances model quality without requiring large amounts of labeled…