Greg Isenberg · Video summary
Jev is HERE. How to use it
Jev, a new AI model, is introduced as a fundamentally different approach to artificial intelligence, offering speed, quality, and affordability that could unlock numerous startup opportunities. This article explores what Jev is, its unique capabilities, and potential use cases for entrepreneurs.
Watch on YouTube ↗Key takeaways
- 🚀Jev is a new AI model created by Diogo Almeida, known for his work on ChatGPT, but it's fundamentally different, focusing on decision-making rather than conversational text generation.00:05
- 🧠Unlike traditional LLMs, Jev is a classifier that provides probabilistic outputs for predefined choices, making it fast, cheap, and ideal for specific classification tasks.01:00
- 💰Jev can categorize 1,700 emails in seconds for just 18 cents, demonstrating its efficiency and cost-effectiveness for high-volume data processing.06:50
- 💡Jev is a 'decision model' that returns probabilities for actions, not generated text, allowing for direct integration into code and type-safe outputs.08:05
- 🚦Jev can act as an 'AI traffic cop' for businesses, prioritizing incoming leads, support tickets, or emails to decide whether a human should intervene, automate, or ignore.17:22
- ⏱️Jev can provide instant quotes for service businesses by scoring nearby businesses and matching them to customer requests, eliminating client wait times.21:40
Chapters
- 0:00🚀 Introduction to Jev: The AI Beyond Chat
- 0:53🧠 What Jev Is and How It Works
- 3:44📧 Jev in Action: Email Classification Demo
- 11:58💡 Jev: A Decision Model, Not a Chat Model
- 25:46🚦 Jev Use Cases: The AI Traffic Cop & Instant Quotes
- 38:13✈️ Advanced Jev Use Cases: Bitcoin Signals & Browser Control
- 43:39🔓 How to Get Access to Jev Today
The digest
Jev is an innovative AI model developed by Diogo Almeida, the same individual whose research contributed to ChatGPT. However, Jev represents a significant departure from traditional large language models (LLMs) like ChatGPT, focusing on rapid, probabilistic decision-making rather than conversational text generation. This new approach offers unprecedented speed, cost-effectiveness, and a unique way to interact with AI, opening doors for a multitude of new applications and startup ideas.
What is Jev?
At its core, Jev is a classifier. Unlike LLMs that generate text based on prompts, Jev takes an input and a predefined schema (a structured set of choices or questions) and returns a probability score for each choice. For example, if given an image of an iPhone and asked "What color is it?" with options like blue, orange, red, green, and yellow, Jev might respond with "Orange: 80%, Red: 10%, Blue: 10%". It doesn't generate a descriptive sentence; it provides a numerical confidence score for each possible classification. This fundamental difference means Jev doesn't "think out loud" or provide reasoning in the way conversational AIs do. Instead, it offers direct, type-safe numerical outputs that can be immediately integrated into code.
Keep reading in The Digest
The full 4-minute article, 4 more sections, and every new episode from Greg Isenberg and the creators you follow.
- The Problem with Traditional LLMs for Classification
- Jev as an AI Decision-Maker
- Practical Use Cases for Jev
- Getting Started with Jev
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