Remove Explainability Remove Generative AI Remove UX Design
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#45 Is Prompting a Future-Proof Skill?

Towards AI

Over the past few months, we have discussed the AI engineer’s toolkit for building reliable LLM products multiple times. We believe that combining RAG, prompting, and fine-tuning will be key to developing scalable solutions with generative AI. If this sounds interesting, reach out in the thread!

UX Design 111
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Ivan Crewkov CEO & Co-Founder of Buddy AI – Interview Series

Unite.AI

This inspired him to build Buddy, a fictional character that kids can actually converse with through the power of generative AI. What applies to smart homes does not apply to early learning, from technologies to UX design. To make this approach work, we are designing Buddy as a game with a story and a universe.

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MeetGeek Review: Can AI Record & Transcribe My Meetings?

Unite.AI

I'd come across AI transcribers before, but not one as user-friendly with so many features! In this MeetGeek review, I'll explain what MeetGeek is and who it's best for. Product & UX Designers: Transcribe brainstorming sessions, feedback, and design discussions.

AI 147
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Injecting Domain Expertise Into Your AI System

Topbots

Figure 3: Knowledge graphs explicitly encode relationships between entities, reducing the guesswork in your AI system Instead of relying purely on statistical correlations, an AI system enriched with knowledge graphs can: Validate predictions against domain-specific rules (e.g., Infer missing information (e.g.,

LLM 52
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Building AI Products With A Holistic Mental Model

Topbots

The model serves as a tool for the discussion, planning, and definition of AI products by cross-disciplinary AI and product teams, as well as for alignment with the business department. It aims to bring together the perspectives of product managers, UX designers, data scientists, engineers, and other team members.

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Hallucinating Reality. An Essay on Business Benefits of Accurate LLMs and LLM Hallucination Reduction Methods

deepsense.ai

Right now, we still mostly hope we can hop over some unresolved issues with AI (i.e., let the AI figure this out), but we could always resort to working on the data/API/logic layer instead. Just to explain what I mean by 3. – say you would like to extract data from an invoice or some kind of form.

LLM 52
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Reinvent personalization with generative AI on Amazon Bedrock using task decomposition for agentic workflows

AWS Machine Learning Blog

Generative AI and large language models (LLMs) offer new possibilities, although some businesses might hesitate due to concerns about consistency and adherence to company guidelines. The personalized content is built using generative AI by following human guidance and provided sources of truth.