Meta Advocates for Government Adoption of Its AI 🤯

How to Make Perplexity AI Your Default Search Engine in Chrome

November 09, 2024

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Welcome to another edition of The AI-Human Synergy,

Mark Zuckerberg informed investors and analysts that the company is collaborating with the public sector to implement Llama in government operations, sparking significant questions regarding the scope and objectives of this partnership.

Let’s get into it!

Here's what's new today in The AI-Human Synergy

  • Meta Advocates for Government Adoption of Its AI

  • Recent Study Shows LLMs Can Identify Their Own Errors

  • AI Tutorial: How to Make Perplexity AI Your Default Search Engine in Chrome

  • Checkout AI Tools

  • Last 48 hours in the AI

  • AI Findings/Resources

META
Meta Advocates for Government Adoption of Its AI

During Meta’s Q3 earnings call, CEO Mark Zuckerberg revealed that the company is “collaborating with the public sector to implement Llama throughout the U.S. government.”

Details:

  • Meta is in discussions with the US State Department to examine how Llama can tackle issues such as enhancing access to safe water and electricity, as well as supporting small businesses.

  • Conversations are also taking place with the Department of Education regarding how Llama could streamline the financial aid process for students.

  • Additionally, talks are ongoing with various other entities, all exploring how Llama could provide advantages to the government.

  • A spokesperson for Meta confirmed that these partnerships do not involve any financial transactions, emphasizing a focus on mutual benefits.

During the earnings call, Zuckerberg alluded to the upcoming model of Llama, mentioning that it is being trained on an exceptionally large cluster. He indicated that the new model will include “new modalities,” enhanced reasoning capabilities, and significantly improved performance when it launches next year.

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AI RESEARCH
Recent Study Shows LLMs Can Identify Their Own Errors

A recent study conducted by researchers from Technion, Google Research, and Apple has revealed that large language models (LLMs) possess a more profound understanding of their own mistakes than previously recognized.

Details:

  • The study expands the definition of "hallucinations" to encompass all varieties of errors made by LLMs, including factual inaccuracies and failures in reasoning.

  • In contrast to prior research that concentrated on external behaviors, this study investigates the internal mechanisms of LLMs by analyzing "exact answer tokens" that assess the accuracy of their responses.

  • The findings indicate that LLMs possess an inherent capability to identify their own errors, with accurate information clustered in particular sections of their outputs.

This study has the potential to lead to more reliable AI systems by utilizing the internal mechanisms of the models to identify and rectify errors.

How to Make Perplexity AI Your Default Search Engine in Chrome

  1. Open Chrome and go to Settings.
    Click on the three vertical dots in the top-right corner, then select "Settings.

  2. Navigate to the "Search Engine" section

    Scroll down to locate the "Search Engine" section, or use the search bar at the top of the Settings page to quickly find it by typing "Perplexity."

  3. Add Perplexity as a Custom Search Engine:

    • Click on "Manage Search Engines."

    • Scroll to the bottom and select "Add."

    • Fill in the following details:

    • Search engine: Perplexity

     

  4. Make Perplexity Your Default Search Engine

Once added, click on the three vertical dots next to Perplexity and choose "Make Default."

⚡ Prisma: Gain deep insights and get actionable recommendations to improve your database queries, making your app run faster.

🤖 Trag: AI code review companion.

⭐ Upsolve AI: Customer-facing analytics solution.

🗣 Canonical AI: Analytics for your voice AI agent.

📖 ReadKidz: One-stop multimedia children's stories creation platform.

📈 How to build AI apps in a weekend that go viral and scale to millions.

👀 We finally have an 'official' definition for open source AI

Elon Musk's xAI is negotiating with investors for a funding round that could value the company at approximately $40 billion, just five months after securing $6 billion at a $24 billion valuation.

LinkedIn has introduced a new AI tool called Hiring Assistant, which aids recruiters by automating tasks such as crafting job descriptions and sourcing candidates.

OpenAI is partnering with TSMC and Broadcom to create its own AI chip, with production targeted for 2026.

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