Hello Tuners,

In today’s edition:

• Llama 3 is now live on Tune AI

• Adobe will buy videos at up to $7.25 per minute for AI training

• Banks invest big in AI to save $$$

• Microsoft Invests $1.5 Billion in UAE Tech Firm

• What’s the Limitless Pendant, the tiniest AI wearable worldwide

Meta's Llama 3 boasts significant enhancements over its predecessors, offering superior performance in tasks like coding.

With two initial open-source models released, featuring 8 billion and 70 billion parameters, respectively, developers gain access to powerful AI capabilities.

Notably, the forthcoming multimodal version promises over 400 billion parameters, demonstrating Meta's commitment to pushing the boundaries of AI. Llama 3 addresses issues like false refusals, ensuring more accurate and comprehensive responses.

This technological leap positions Meta AI as a formidable contender in the global AI assistant landscape.

Adobe will buy videos at up to $7.25 per minute for AI training

Adobe is purchasing videos for up to $7.25 per minute to train AI, aiming to bolster its text-to-video platform. The move reflects the demand for diverse content to train generative AI models.

With a focus on ethical sourcing, Adobe offers creators $120 for videos capturing everyday actions and emotions. Payments range from $2.60 to $7.25 per minute, encouraging specific content acquisition to enhance Adobe Stock's commercial solutions.

This approach contrasts with some companies' content scraping practices, aligning with Adobe's ethical stance.

Banks invest big in AI to save $$$

Financial leaders like JPMorgan are heavily investing in AI and ML, with global banking AI expenditure hitting $20.6 billion in 2023.

Banks worldwide are embracing AI to enhance efficiency, drive growth, and increase profits. Strategic investments in AI could yield up to 15% higher profits for the banking sector.

Leading banks like JPMorgan, Capital One, and Royal Bank of Canada are leveraging AI to improve customer experiences, automate processes, and mitigate risks.

Microsoft Invests $1.5 Billion in UAE Tech Firm

Microsoft is injecting $1.5 billion into a UAE-based tech firm overseen by the country’s national security adviser. G42, with strong ties to the UAE government, specializes in AI and operates data centers across the Middle East.

Microsoft’s president will join G42’s board. The deal, made with input from the UAE and US governments, aims to expand digital infrastructure across regions where G42 operates.

G42 has pledged to sever ties with Chinese hardware suppliers amidst concerns over spying allegations. The move underscores the UAE’s role as a tech innovator, backed by international collaboration.

Limitless Pendant, the tiniest AI wearable worldwide

The Limitless Pendant, a new smart accessory, aims to make meetings easier and help you remember things better.

It's designed to boost productivity and keep your conversations organized. Plus, it's careful about privacy, making sure your data stays safe. And it's not too expensive, starting at $99.

Overall, it's a handy gadget that could change the way we work and remember things, offering a mix of usefulness, affordability, and privacy.

LLM Of The Week

Llama 3 release introduces 8B and 70B models, 400B in training. Tokenizer expanded to 128K tokens for better sequence compression.

Architecture maintains continuity with Llama 2 but universally implements Grouped Query Attention. It was trained on a 15T dataset, achieving promising results with 40% GPU utilization.

Anticipation surrounds the 400B model's potential. Try it out now on TuneChat.

Best Prompt of the Week 🎨

Today's Goal: Try new things 🧪

Acting as a Ethereum Developer

Prompt: Imagine you are an experienced Ethereum developer tasked with creating a smart contract for a blockchain messenger. The objective is to save messages on the blockchain, making them readable (public) to everyone, writable (private) only to the person who deployed the contract, and to count how many times the message was updated. Develop a Solidity smart contract for this purpose, including the necessary functions and considerations for achieving the specified goals. Please provide the code and any relevant explanations to ensure a clear understanding of the implementation.