AI Job Seeker 👔 | Silver Brain 🥈 | Decentralized Cloud 🔗

AI 🤖 

Aethir, based in Singapore, is addressing the challenge of moving generative AI and gaming applications to the cloud, which can strain computing resources. Their approach involves decentralization through blockchain and peer-to-peer networking. They harness GPUs from a decentralized network of infrastructure companies to optimize computing tasks, aiming to reduce costs by 60%. Aethir has partnered with Nvidia's Inception program, aiming to innovate in Decentralized Cloud Infrastructure (DCI) for gaming and AI.
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Chinese AI startup Baichuan has unveiled its Baichuan2-192k large language model (LLM), claiming it to be the world's most powerful model for processing long text prompts. This latest iteration boasts an impressive "context window" capable of handling approximately 350,000 Chinese characters. To put this in perspective, it surpasses Amazon-backed Anthropic's Claude 2, which was previously hailed as the most advanced AI model, by offering a context window 14 times larger than OpenAI's GPT-4-32k. Baichuan's achievement sets a new benchmark for handling extensive text data.
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LLama has its first industry scale integration Dell today announced that it is adding support for Llama 2 models to its lineup of Dell Validated Design for Generative AI hardware. The adoption of Llama 2 is broad, with cloud providers and hardware vendors embracing it for various purposes. The partnership with Dell is particularly significant as it allows for on-premises deployment, addressing concerns about data privacy. Collaborating with Dell also aids in understanding and meeting enterprise requirements, contributing to the evolution of future Llama models.
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Tech 🧑‍💻 

Apple At the “Scary Fast” event, Apple unveiled the new MacBook Pro and 24-inch iMac, both powered by the M3 family of chips. The event was shot on an iPhone 15 Pro Max, highlighting its advanced video capabilities. The M3 chips are said to offer significant performance improvements. The MacBook Pro is available in a new Space Black color, and the iMac comes in multiple colors.
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LinkedIn introduced an AI-driven chatbot, labeled as a "job seeker coach," and unveiled additional generative AI features for Premium members. These launches coincide with LinkedIn's announcement of reaching 1 billion members on its platform. Over recent months, the Microsoft-owned company has been emphasizing the development of tools such as automated recruiter communications, AI-assisted job descriptions, and suggestions for AI-powered profile writing.
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Business 💵 

Defense Tech startup Shield AI has successfully raised $200 million in a Series F funding round to expand its AI-driven products for aircraft and pilots. This latest round of venture capital funding boosts the company's valuation to $2.7 billion, placing it among the top venture-backed defense technology startups with multibillion-dollar valuations.
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AI An artificially intelligent tool will be able to solve engineering problems in seconds by identifying faults with equipment before they become problematic 
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Tools ⚒️ 

Nvidia Canvas is a tool that uses AI to turn simple brushstrokes into realistic landscape images. It allows users to paint with a variety of real-world materials, such as grass, snow, and clouds.
Pricing: Free

BoomAI Enter a topic and it will generate a fun trivia game that you can play around that topic. Play by yourself or play with friends.
Pricing: Free

Research 🧠 

Silver Brain: The research talks about overcoming energy energy-intensive AI neural network approach. They introduce a groundbreaking development: a novel AI approach based on a physical neural network constructed with silver nanowires (aka Silver Brain). This hardware-based network is exceptionally energy-efficient and possesses the capability to learn and recognize items such as handwritten numbers and digit sequences in real time. The research was conducted in collaboration with experts from the University of Sydney and UCLA. This is a significant advancement in the field of AI. Let’s wait and watch
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Self-RAG: Conventional large language models (LLMs), have inaccuracies due to limited knowledge, this paper introduces a new approach called Self-Reflective Retrieval-Augmented Generation (Self-RAG). This framework enhances an LLM's performance by allowing it to dynamically retrieve relevant information and reflect on both retrieved passages and its own responses using special tokens. By doing so, Self-RAG improves the quality and factual accuracy of LLM-generated content, outperforming existing models like ChatGPT and retrieval-augmented Llama2-chat in a variety of tasks, including open-domain question-answering reasoning, and fact verification.
Paper

Tip of the day 💡 

Python: Use 'enumerate' for Iterating with Index

When you need to iterate over a sequence (e.g., a list) and also keep track of the index, you can use the enumerate function.

my_list = ["Apple", "Orange", "Cherry"]
for i, value in enumerate(my_list):
    print(f"Index: {i}, Value: {value}")

Using enumerate is more Pythonic and avoids the need for manual index tracking. Thereby, improving the readability and maintainability of your code.