Google Gets Caught Studying Claude

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Google getting shady with Anthropic, real-time inference with Groq, and a Sora Demo. Doesn’t get better than this…

The AI Comparison Wars Rage on With Gemini and Claude

Google is stepping up its game in the AI arms race, tasking contractors with comparing responses from its Gemini AI against those from Anthropic’s Claude.

This evaluation process measures truthfulness, verbosity, and overall quality—yet it’s raising eyebrows in the AI community…

What’s the fuss?

• Contractors are spending up to 30 minutes per prompt comparing responses. Claude, known for its strict safety standards, often refuses to answer “unsafe” queries, while Gemini has faced criticism for generating inappropriate content in some cases.

• Some Gemini responses are apparently having an identity crisis, claiming to be Claude (awkward...).

• While Google acknowledges comparing model outputs for evaluation purposes, it insists that Gemini is not trained using Anthropic models.

So What?

This peek behind the curtain of AI model evaluation reveals the competitive (and controversial) nature of today’s tech giants.

While Google and Anthropic figure out if they're frenemies, we're all left wondering about the ethics of AI comparison shopping.

The real question: If an AI claims to be another AI, does it get sent to digital detention?

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Speed up AI Inference with Groq

Groq is an AI solutions company specializing in ultra-low latency inference for AI applications.

Their flagship product, the Language Processing Unit (LPU), is designed to accelerate AI workloads while delivering exceptional compute speed, quality, and energy efficiency (so waiting for LLM responses doesn’t feel like watching paint dry).

This makes Groq particularly valuable for deploying large language models and other generative AI applications that require rapid and efficient processing. Additionally, they support inference for a vast number of closed and open source models.

Here’s how you can get started with its API:

1. Sign up and get your own API key.

2. Install the Groq Python library and set your API key as an environment variable:

pip install groq

export GROQ_API_KEY=<your-api-key-here>

3. Integrate it into your apps and perform a completion!

import os

from groq import Groq

client = Groq(
    api_key=os.environ.get("GROQ_API_KEY"),
)

chat_completion = client.chat.completions.create(
    messages=[
        {
            "role": "user",
            "content": "Explain the importance of fast language models",
        }
    ],
    model="llama3-8b-8192",
)

print(chat_completion.choices[0].message.content)

🔥 There’s also a super useful cookbook to help you get started!

Create Realistic Videos with Sora

I finally got access to Sora and I’ve been LOVING it. There was quite a long waiting period to get in when it was first released, but now everyone should be able to access it.

For those who may not be familiar, Sora, developed by OpenAI, is an AI tool that transforms text prompts into dynamic videos.

Here’s a concise tutorial to help you get started:

1. Navigate to Sora and log in with your ChatGPT account (paid subscription required).

2. Enter your text prompt in the chat window below. There, you will also find options to enhance the quality, change the length of the video, and create more variations.

3. Generate the video. This may take up to 3 minutes so be patient!

4. Optionally review and download it.

Try out this prompt for inspiration👇️ 

A serene beach at sunset with gentle waves and a silhouette of a surfer.

Stay updated with our favorite highlights, dive in for a full flavor of the coverage!

Elon Musk's xAI raised $6 billion in its Series C fundraising, the startup announced on Monday.

Microsoft’s AI for Good Lab unveiled a new open-source project and AI-powered edge computing device designed to improve biodiversity monitoring, named SPARROW.

Google DeepMind introduced FACTS Grounding, a comprehensive benchmark for evaluating the ability of LLMs to generate responses that are not only factually accurate with respect to given inputs, but also sufficiently detailed to provide satisfactory answers to user queries.

AI-powered search engine Perplexity has reportedly closed a $500 million funding round, valuing the startup at $9 billion.

CBS News gave a breakdown of the new AI features that appeared across the tech landscape this year, from the latest iPhone to chatbots like Google's Gemini.

Trending Tools

🧑‍🏭 Apply AI - AI powered job application assistant.

🗺️ Plot.ai - An AI based map tool that tells you where to buy, what to build and how to price it based on current market trends and historical data.

♊️ Gemini Stream Realtime - Interact with Gemini in real-time using text, voice, video, or screen sharing.

We hope this was all of you last night explaining the next AI paradigm shift to your loved-ones:

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