Elon Musk's xAI and Colossus Supercomputer🚀, OpenAI Japan's GPT-Next ⚡, BigLaw Bench Legal AI Evaluation⚖️

Elon Musk’s AI Powerhouse: xAI’s Colossus Supercomputer

Elon Musk's latest venture, xAI, founded in July 2023, has made significant strides with the launch of its supercomputer, Colossus, over Labor Day weekend. Located in Tennessee and equipped with 100,000 Nvidia H100 processors, Colossus is designed to train xAI's large language model (LLM), Grok, which aims to rival OpenAI’s GPT-4. Musk plans to double the system's compute power by adding 50,000 Nvidia H200 chips.

Colossus will power Grok-3, set for release by December, after an earlier beta version of Grok-2 ranked among the top LLMs. Musk’s ambition is to surpass OpenAI, despite being a co-founder of the company. xAI raised $6 billion in funding and may receive an additional $5 billion from Tesla, boosting its efforts in the AI space. The rapid development of Colossus in Memphis has sparked both excitement and concern due to its resource demands.

Musk's management philosophy emphasizes speed, as demonstrated by the swift construction of Colossus in just 122 days. He aims to position xAI as a leader in the AI race, with Grok-3 and Colossus playing key roles in reshaping the AI landscape.

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OpenAI Japan reveals 'GPT-Next'

OpenAI Japan's upcoming model, GPT-Next, set to launch by the end of 2024, is projected to be 100 times more powerful than GPT-4. Announced by CEO Tadao Nagasaki at the KDDI Summit 2024, GPT-Next will achieve this through architectural advancements and smarter learning techniques, rather than just increased computational resources. It will offer significant performance boosts, faster processing, and enhanced multimodal capabilities, handling text, images, and potentially video.

Key advancements include "System 2 thinking," allowing deep reasoning, and the use of synthetic data for training. Rumored elements from OpenAI’s "Project Strawberry" and "Orion" could further enhance its ability to explore and analyze data autonomously. The announcement has generated excitement within the tech community, as GPT-Next is expected to revolutionize fields like education, healthcare, and research by setting new standards for AI performance and efficiency.

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Introducing BigLaw Bench - Harvey AI

Harvey has announced the public results of BigLaw Bench, a dataset and framework for evaluating large language models (LLMs) on complex legal tasks. This benchmark assesses real-world legal work, such as risk assessment, document drafting, and client advising, which traditional benchmarks like multiple-choice tests fail to capture. Developed by a legal research team, BigLaw Bench evaluates models on transactional and litigation tasks using detailed rubrics that penalize common issues like hallucinations and irrelevant content.

Harvey's proprietary models outperformed publicly available LLMs, completing 74% of a lawyer-quality work product, though there remains significant room for improvement. These models excelled in delivering detailed, nuanced outputs, particularly in transactional tasks, but faced challenges in sourcing, with most public models struggling to provide accurate references for legal assertions. The results highlight AI’s potential to assist in legal work, but more complex tasks remain out of reach. Harvey aims to develop a broader industry-standard benchmark in collaboration with clients and partners to further improve legal AI performance.

Nvidia Free IT Course: Generative AI Explained

About this Course
Generative AI describes technologies that are used to generate new content based on a variety of inputs. In recent time, Generative AI involves the use of neural networks to identify patterns and structures within existing data to generate new content. In this course, you will learn Generative AI concepts, applications, as well as the challenges and opportunities in this exciting field.

Learning Objectives
Upon completion, you will have a basic understanding of Generative AI and be able to more effectively use the various tools built on this technology.

Topics Covered
This no coding course provides an overview of Generative AI concepts and applications, as well as the challenges and opportunities in this exciting field.

Course Outline
Define Generative AI and explain how Generative AI works
Describe various Generative AI applications
Explain the challenges and opportunities in Generative AI

⭐⭐⭐

Microsoft Azure Cloud Courses

Microsoft provides free cloud courses focused on Azure fundamentals, including virtual machines, storage, and networking, perfect for those starting in cloud computing.

These courses typically focus on

1. Microsoft Technologies: Learn about core Microsoft tools like Azure, Dynamics 365, Microsoft 365, and Power Platform.

2. Development & Coding: Gain insights into software development, programming languages, and frameworks using Microsoft technologies.

3. Cloud Computing: Learn cloud-based solutions using Azure for development, deployment, and management.

4. Data & AI: Understand how to leverage AI, machine learning, and data analytics through Microsoft tools and services.

5. Productivity & Collaboration: Master Office 365, Teams, and other productivity tools to improve workflow and collaboration.

6. Security: Explore security fundamentals, including identity, compliance, and governance, across Microsoft services.

7. Certifications: Prepare for industry-recognized certifications in various Microsoft technologies.
   
   

LIST OF TOOLS

🧩 TensorFlow Extended (TFX) - End-to-end platform for ML pipelines.

🤖 DataRobot - Automated machine learning platform.

💧 H2O.ai - Tools for automated machine learning.

🔧 Google AI Platform - Services for managing ML models.

📚 Amazon SageMaker - Tools for building, training, and deploying ML models.

⚙️ Azure Machine Learning - Cloud-based ML lifecycle management.

Canva says its AI features are worth the 300 percent price increase
Canva is increasing the price of its subscription plans by up to 300%, citing the addition of advanced AI features as the reason for the hike. The new features, which include AI-driven design tools and capabilities, are intended to enhance the platform's offerings. However, the steep price increase has sparked concerns among users about affordability and value for money. This change reflects a broader trend in tech where companies are integrating AI at a premium cost.

Microsoft’s Copilot AI features are coming to new Intel and AMD laptops in November
Microsoft announced its new "Co-Pilot Plus" feature for Windows PCs, which integrates advanced AI tools directly into the operating system. These features are designed to enhance productivity and are powered by Intel's latest hardware. The release is set for later this year, promising a more seamless user experience by leveraging AI to assist with tasks across various applications. This move is part of Microsoft's broader strategy to embed AI more deeply into its products.

Nvidia suffers record $279 billion loss in market value as Wall St drops
On September 3, 2024, Nvidia's stock dropped over 8%, leading to a 7% fall in the PHLX chip index. This decline followed concerns over AI investments and softer economic data, which tempered the AI rally that had boosted Nvidia earlier in the year. Broadcom and Intel also saw losses, contributing to a broader market sell-off


Make back to school season easier with these AI features
Google has introduced several AI-powered features to enhance learning and teaching for the 2024 school year. For students, tools like Gemini provide personalized study help, YouTube integrates interactive learning, and Google Lens offers step-by-step homework assistance. Educators gain AI-driven tools for lesson planning, personalized instruction, and classroom management. Parents also benefit from features like School Time to manage distractions and safety controls for AI usage. These tools aim to make learning more accessible, interactive, and efficient for everyone involved.


Nvidia to become a big shareholder in Japan's Sakana AI
Nvidia will invest several billion yen in Tokyo-based startup Sakana AI, becoming a major shareholder. Sakana AI, co-founded by former Google researchers, secured around 20 billion yen ($137 million) in its Series A funding round, with Nvidia as the largest contributor. Other investors include U.S. venture capital firms like New Enterprise Associates and Khosla Ventures. Sakana AI, founded in July 2023, has quickly reached unicorn status, with its AI technology focusing on efficiency, lower costs, and reduced power consumption compared to larger models like OpenAI. Nvidia's investment aligns with its focus on expanding its presence in generative AI.

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