GPT-4 Code Interpreter Masters Math
Plus: AI reconstructs song from brain activity, Saudi Arabia & UAE race for Nvidia chips.
Hello Engineering Leaders and AI Enthusiasts!
Welcome to the 87th edition of The AI Edge newsletter. This edition brings you how to boost the mathematical reasoning potential of GPT-4 Code Interpreter.
And a huge shoutout to our incredible readers. We appreciate you!😊
In today’s edition:
📊 GPT-4 Code Interpreter masters math with self-verification
🧠 AI reconstructs song from brain activity
💻 Saudi Arabia and UAE join the race for scarce Nvidia chips
📚 Knowledge Nugget: What exactly are the economics of AI? by
Let’s go!
GPT-4 Code Interpreter masters math with self-verification
OpenAI's GPT-4 Code Interpreter has shown remarkable performance on challenging math datasets. This is largely attributed to its step-by-step code generation and dynamic solution refinement based on code execution outcomes.
Expanding on this understanding, new research has introduced the innovative explicit code-based self-verification (CSV) prompt, which leverages GPT4-Code’s advanced code generation mechanism. This prompt guides the model to verify the answer and then reevaluate its solution with code.
The approach achieves an impressive accuracy of 84.32% on the MATH dataset, significantly outperforming the base GPT4-Code and previous state-of-the-art methods.
Why does this matter?
The study provides the first systematic analysis of the role of code generation, execution, and self-debugging in mathematical problem-solving. This highlights the importance of code understanding and generation capabilities in LLMs. Plus, the ideas presented can help build high-quality datasets that could potentially help improve the mathematical capabilities in open-source LLMs like Llama-2.
AI reconstructs song from brain activity
Neuroscientists recorded electrical activity from areas of the brain (yellow and red dots) as patients listened to the Pink Floyd song “Another Brick in the Wall, Part 1.” Using AI software, they were able to reconstruct the song from the brain recordings. This is the first time a song has been reconstructed from intracranial electroencephalography recordings.
Why does this matter?
By capturing the musicality of speech through neural signals, this research presents an innovative application of AI that could redefine how we interact and communicate, particularly for those who struggle with traditional modes of communication.
Saudi Arabia and UAE join the race for scarce Nvidia chips
Saudi Arabia has purchased at least 3,000 of Nvidia's H100 chips at $40,000 apiece, while UAE has ordered a fresh batch of semiconductors to power its LLM. This signals the Gulf states’ intention to become major players in AI by buying up thousands of Nvidia's GPUs which are vital in powering the boom in generative AI that has swept markets this year.
Why does this matter?
This makes them the latest to join the ever-growing queue of buyers for Nvidia chips to power AI ambitions. But will Nvidia be able to produce enough GPUs to meet the massive demand? It was reported in June that Nvidia GPUs are already in short supply (and very expensive).
Knowledge Nugget: What exactly are the economics of AI?
While Google (Google Search powered by AI) and Meta (using AI for ads) have been making money off of AI since long now, a rumor has been circulating on the internet that OpenAI could face bankruptcy, possibly as soon as 2024. So of course, just because something is powered by AI doesn’t mean it will make truckloads of money.
In this interesting article,
delves into the exact economics of AI. He lists why OpenAI, and generative AI, might struggle financially & reasons why OpenAI, and generative AI, might still do well financially.Why does this matter?
There’s a surge in investment in generative AI today, raising questions about this trend's sustainability. The analysis in the above article prompts a critical examination of whether the current fervor is grounded in substance or inflated expectations. Thus, gauging the financial viability can help shape a more balanced and informed approach to AI investments and advancements in the years ahead.
What Else Is Happening❗
🤝OpenAI acquires AI design studio Global Illumination to work on core products, ChatGPT (Link)
📝The Associated Press releases guidelines for Generative AI to its journalists (Link)
🚀Consulting giant McKinsey unveils its own generative AI tool for employees: Lilli (Link)
🌐Opera for iOS will now include Aria, its browser AI built in collaboration with OpenAI (Link)
🚦UK is using AI road safety cameras to detect potential driver offenses in passing vehicles (Link)
🔥Adobe Express with AI Firefly app, now out of beta, is available worldwide (Link)
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📈 Thursday Trajectory
In the spotlight today: Voiceflow
California-based Voiceflow, a startup looking to build the ‘Figma’ of conversational AI, recently raised $15 million in a fresh round of funding led by OpenView Venture Capital. The company said it will use the capital to expand its product’s capabilities and enable more teams to build conversational AI agents targeting different use cases.
New product innovations will make the experience of designing and deploying AI agents even better. Plus, it will focus on adding an LLM-powered AI Builder, enabling teams to build and deploy agents for customer support and more.
The development comes at a time when companies across sectors are racing to deploy conversational AI assistants and looking for fast solutions to accelerate their projects.
Voiceflow delivers just that by building AI agents at twice the speed of traditional platforms.
That's all for now!
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