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World's first ChatGPT-like Gen AI engine set to revolutionize how businesses access and utilize their data

🗞️ The Tech Issue | Jul 5, 2023

Good morning. It's Wednesday, Jul 5. In today's edition, I am bringing to you the latest AI news, insights, resources, and tools. Whether you're an executive, professional, enthusiast, researcher, or simply curious, join me on this exciting trip into the world of AI. Let's dive in!

Today’s highlights:

Top Story — World's first ChatGPT-like Generative AI engine set to revolutionize how businesses access and utilize their data.

Enterprise From Generative AI to Synthesis AI — Is SynthAI the next wave?

Resources Mojo Language for AI Developer – Faster than Python.

Podcast Worth Sharing Lex Fridman's interview with George Hotz on topics including Tiny Corp, Twitter, AI Safety, Self-Driving, GPT, AGI, and God.

AI Tools 10 “Best” AI Tools for Business (July 2023)

AI-Generated Video and Images AI-generated images of the ex-presidents of the United States of America busting some serious moves while celebrating the 4th of July.

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STORIES

Stratio BD, a prominent Generative AI Data Fabric company, unveiled Stratio Gen-AI on July 4th, 2023. It is the first-ever generative AI engine created to address a major data management challenge for businesses. Its purpose is to provide effortless, fast, and secure access to any necessary information for company employees, regardless of their technical expertise.

The technology employs a Large Language Model (LLM) that offers a user experience resembling the widely popular ChatGPT, but with no direct connection. This enables it to provide information and data insights in a user-friendly, human-like language. It can also comprehend different user languages, including diverse native tongues and varying technical or literacy levels, ensuring the delivery of the most suitable and precise responses.

There is a wide array of options available when it comes to generating content and gaining insights from AI. ChatGPT is not the sole choice in this domain, as numerous other large language models have emerged, proving to be strong contenders. Here are 14 such models that are giving ChatGPT a run for its money.

The creator economy has witnessed significant impacts from AI across various fronts. It has revolutionized idea generation, streamlined editing tasks, and given birth to virtual characters. Recent surveys reveal that more than 90% of creators rely on AI tools as part of their regular workflow. Notably, brands are actively encouraging creators to embrace these powerful tools and harness their full potential.

According to McKinsey & Company, generative AI has the potential to greatly boost global productivity and add trillions of dollars to the economy. McKinsey & Company research indicates that it could contribute around $2.6 trillion to $4.4 trillion annually across 63 analyzed use cases, which is comparable to the entire GDP of the United Kingdom in 2021 ($3.1 trillion). This would increase the overall impact of artificial intelligence by 15 to 40 percent. Additionally, if we consider the impact of incorporating generative AI into existing software for tasks beyond the analyzed use cases, this estimate would roughly double.

Around 75 percent of the value generated by generative AI is expected to come from customer operations, marketing and sales, software engineering, and R&D. McKinsey & Company explored 63 use cases across 16 business functions, where generative AI can effectively address specific challenges and produce measurable outcomes.

GlobalData Thematic Intelligence believes that there are compelling indications that demonstrate the solid foundation supporting the emergence of GenAI. These indications include the rapid advancement of innovation, abundant funding despite a challenging economic climate, a rising demand for talent, a growing emphasis from senior management and investors, and the general perception that GenAI will significantly disrupt various industries within the next five years.

Five reasons why Generative AI, beyond the hype, means all business

  • 1) Majority of businesses expect GenAI to disrupt their industries in the next five years.

    2) Patents – Early indicator for technologies emergence, shows massive future potential.

    3) Generative AI is front and center – for company management and investors alike.

    4) GenAI skillset in demand, across sectors.

    5) GenAI start-ups are still a bright spot on investors’ radar despite chills from start-up winter.

In this article, McKinsey & Company aim is to assist CEOs and their teams in exploring the value creation potential of generative AI and initiating their journey. Firstly, they provide a generative AI primer to enhance executives' understanding of the rapidly evolving AI landscape and available technical choices. The subsequent section examines how companies can engage with generative AI through four illustrative cases that target the enhancement of organizational effectiveness. These cases draw insights from early adopters and present various options encompassing technology, cost, and operating model considerations. Lastly, they highlight the crucial role of CEOs in positioning their organizations for success with generative AI.

ENTERPRISE | B2B

A16Z, a Silicon Valley venture capital firm, believes that the future of AI in the workplace lies in focused models tailored to specific business needs, rather than LLMs like ChatGPT. They call it SynthAI, where models are trained on proprietary data sets and optimized for tasks like customer support, market research summaries, and personalized marketing emails.

Images and Article source/credit: A16Z

When considering the potential of Wave 2, the article anticipates that synthesis AI will be most advantageous in use cases characterized by two factors: 1) A substantial volume of information that surpasses human capacity for manual sifting. 2) A high signal-to-noise ratio, where clear and consistent themes or insights emerge. It's important to avoid burdening AI models with deciphering nuanced information to ensure accuracy.

The article presents the following diagram to illustrate this concept by categorizing common examples of analysis and synthesis.

Images source/credit: A16Z

RESOURCES

Introducing Mojo programming language, the latest addition to the tech scene. Designed to enhance execution speeds for Python-based projects, Mojo empowers developers with performance similar to that of C. Experience accelerated coding like never before with Mojo's speed-boosting capabilities.

AI is transforming learning and development. AI-powered LMSs offer intelligent content recommendations, progress tracking, adaptive assessments, NLP, automation of tasks, grading, and reporting. With an AI-based LMS, you simplify workflows, optimize learning, personalize experiences, and improve learner engagement and outcomes.

AI and ML together enable computer systems to perceive, recognize, make decisions, and translate. AI imitates human intelligence using math and logic, while ML leverages experience-based learning without explicit instructions. In the AI/ML Zone, you'll discover a wealth of resources, including tutorials and use cases, to navigate this rapidly expanding field.

PODCAST WORTH SHARING

George Hotz is an American security hacker, entrepreneur, and software engineer. Currently, he is focused on his machine learning company comma.ai, specializing in vehicle automation. Additionally, Hotz has been developing tinygrad, a deep learning framework since November 2022.

Source: Lex Fridman

AI TOOLS

 

AI-GENERATED IMAGES

Here are some interesting AI-generated images of the ex-presidents of the United States of America busting some serious moves while celebrating the 4th of July. See all the ex-president images and the creator’s details at the Reddit link below.

Source and image credit: Reddit

AI-GENERATED VIDEO: SpaceX Summer 2023 Vlog.

Source: Dankchungus. 

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