To build more reliable AI, we're using a two-step "contractor-prosecutor" model. The first model proposes a structured decision with exact evidence, while a second model acts as a prosecutor, trying to find flaws based on domain rules. This adversarial duet embeds critical thinking into the workflow and turns every mistake into an auditable artifact. 💡
"Two-Step AI Model for Reliable Decisions"
More Relevant Posts
-
Think of prompt engineering as giving directions: the clearer the map, the smoother the journey. That’s why it matters. Prompt engineering isn’t a mystery.it’s simply the art of asking AI the right questions in the right way. Clear, structured prompts lead to better answers, making it an essential skill for anyone who wants to use AI effectively.
To view or add a comment, sign in
-
-
Despite the hype surrounding generative AI, one roadblock is stalling enterprise adoption: its tendency to fabricate facts, overlook key details, and overwhelm us with too many ideas to sift through effectively. Most firms rely on costly human reviews or testing tools that struggle to keep pace with AI's output, and this limits scalability. To tackle the complexity of its extensive product catalog, Amazon introduced Catalog AI—a system designed to identify questionable information, generate and test new product page ideas, and make ongoing improvements by learning from quality checks and test outcomes. It creates and tests tens of millions of hypotheses annually, compared to the thousands that most human-based systems can. #GenAI #QualityControl https://lnkd.in/e2yu3TDQ
To view or add a comment, sign in
-
By announcing that GPT-6 will be shifting to sustained and personalized interaction, Sam Altman of OpenAI is taking a memory-backed approach to make AI more trustworthy and context-aware. At InstaLILY AI, we believe context enables trust, and trust enables delegation. 🤝 Our AI Teammates are trained on your industry, embedded in your stack, and orchestrated to execute full workflows autonomously. They persist context across systems tracking: • Ticket history • Quote status • Inventory checks • Prior part validations. They don’t start from zero each time. Since our agents are architected to be context-aware and history-informed, they are capable of consistent execution across time and systems. In a world that increasingly wants AI to execute, memory is more than a nice-to-have, it's the unlock. To learn more, check out the article in the comments.
To view or add a comment, sign in
-
-
All my AI use in the past few weeks has reinforced 2 things for me: 1️⃣ LLMs are just Stochastic Parrots. It's ridiculous how much they don't perform at real thinking. 2️⃣ Stochastic Parrots can be very useful. When given very strict, narrow tasks, and explicit context, they can help a lot with 80/20 type tasks.
To view or add a comment, sign in
-
What a crazy time to be alive! Imagine having AI help with equivalence class partitioning. But just because AI says your website is "good" doesn't mean your customers will agree. This course emphasizes the balance between employing AI's capabilities and tempering it with a human's critical-thinking.
To view or add a comment, sign in
-
SIA-1: The AI That Evolves Itself Imagine an AI that doesn’t just execute tasks — but learns to improve its own code, generation after generation. That’s the promise of SIA-1, a project claiming to be “the world’s first truly self-improving AI agent.” It’s an ambitious, possibly game-changing concept. Here’s what it is, why it matters, and what to watch out for.
To view or add a comment, sign in
-
When you're tackling big challenges, one single AI system might not be capable enough. That's why ICF Fathom builds multi-agent AI systems that work cooperatively to approach a problem from different angles and deliver a transparent solution, built for real-world complexity. https://forwrd.it/r/6ez1
To view or add a comment, sign in
-
-
Interesting analogy for AI tools found on reddit, paraphrased: "It can get you to the red light faster" If used correctly, it's an efficiency multiplier. Not a cost reduction tool. Hmm.
To view or add a comment, sign in
-
I have started reading this article. Author is Cameron Wolfe who can vividly explain a complex topic. Put it simple he says the AI agents are combination of LLM capabilities (generalize any problem) with addition of reasoning power and ability to use tools. All these 3 put together will form powerful AI Agents. Its a long read. But its worth it. https://lnkd.in/g9ZrnDaR
To view or add a comment, sign in