Visa is leveraging artificial intelligence across numerous aspects of its operations, with no plans to slow down its implementation.
A new program from MIT helps children understand AI by letting them build small-scale language models.
“we found no evidence of formal reasoning in language models …. Their behavior is better explained by sophisticated pattern matching—so fragile, in fact, that changing names can alter results by ~10%!”
This article provides a comprehensive overview of AI agents, discussing their core traits, technical aspects, and practical applications. It covers topics like autonomy, reasoning, alignment, and the role of AI agents in daily life.
1. **Emerging Prominence of AI Agents**: Agents are increasingly popular for day-to-day tasks but come with confusion about their definition and effective use.
2. **Core Traits and Autonomy**: Julia Winn explores the nuances of AI agents' autonomy and proposes a spectrum of agentic behavior to assess their suitability.
3. **AI Alignment and Safety**: Tarik Dzekman discusses the challenges of aligning AI agents with creators' goals, particularly focusing on safety and unintended consequences.
4. **Tool Calling and Reasoning**: Tula Masterman examines how AI agents bridge tool use with reasoning and the challenges they face in tool calling.
5. **Proprietary vs. Open-Source AI**: Gadi Singer compares the advantages and limitations of proprietary and open-source AI products for implementing agents.
1. **Emerging Prominence of AI Agents**: Agents are increasingly popular for day-to-day tasks but come with confusion about their definition and effective use.
2. **Core Traits and Autonomy**: Julia Winn explores the nuances of AI agents' autonomy and proposes a spectrum of agentic behavior to assess their suitability.
3. **AI Alignment and Safety**: Tarik Dzekman discusses the challenges of aligning AI agents with creators' goals, particularly focusing on safety and unintended consequences.
4. **Tool Calling and Reasoning**: Tula Masterman examines how AI agents bridge tool use with reasoning and the challenges they face in tool calling.
5. **Proprietary vs. Open-Source AI**: Gadi Singer compares the advantages and limitations of proprietary and open-source AI products for implementing agents.
AI Risk Database is a tool for discovering and reporting the risks associated with public machine learning models. It provides a comprehensive overview of risks and vulnerabilities associated with publicly available models.
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