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Google’s AI Co-Scientist vs. OpenAI’s Deep Research vs. Perplexity’s Deep Research: A Comparison of AI Research Agents

Unite.AI

Rapid advancements in AI have brought about the emergence of AI research agentstools designed to assist researchers by handling vast amounts of data, automating repetitive tasks, and even generating novel ideas. As Perplexity's Deep Research focuses on knowledge discovery, it has a limited scope as a research agent.

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OpenAI enhances AI safety with new red teaming methods

AI News

The assessed data then informs repeatable evaluations for future updates. Automated red teaming Automated red teaming seeks to identify instances where AI may fail, particularly regarding safety-related issues. It captures risks at a specific point in time, which may evolve as AI models develop.

OpenAI 328
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The Emergence of Self-Reflection in AI: How Large Language Models Are Using Personal Insights to Evolve

Unite.AI

As AI moves closer to Artificial General Intelligence (AGI) , the current reliance on human feedback is proving to be both resource-intensive and inefficient. This shift represents a fundamental transformation in AI learning, making self-reflection a crucial step toward more adaptable and intelligent systems.

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Hugging Face calls for open-source focus in the AI Action Plan

AI News

million public models across various sectors and serves seven million users, proposes an AI Action Plan centred on three interconnected pillars: Hugging Face stresses the importance of strengthening open-source AI ecosystems. The company prioritises efficient and reliable adoption of AI. Hugging Face, which hosts over 1.5

AI 301
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Gemini 2.0: Google ushers in the agentic AI era 

AI News

model, this major upgrade incorporates enhanced multimodal capabilities, agentic functionality, and innovative user tools designed to push boundaries in AI-driven technology. Leap towards transformational AI Reflecting on Googles 26-year mission to organise and make the worlds information accessible, Pichai remarked, If Gemini 1.0

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Magic Behind Anthropic’s Contextual RAG for AI Retrieval

Analytics Vidhya

In an era where artificial intelligence (AI) is tasked with navigating and synthesizing vast amounts of information, the efficiency and accuracy of retrieval methods are paramount. Anthropic, a leading AI research company, has introduced a groundbreaking approach called Contextual Retrieval-Augmented Generation (RAG).

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NotebookLM Review: The Future of Research Unlocked

Unite.AI

NotebookLM is Google's AI research and note-taking tool that understands source materials. While most AI tools draw from their general training data, NotebookLM focuses on understanding and working with your documents. It's like having a research assistant who's read all your materials thoroughly. What is NotebookLM?

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