Suggestions
Vlad Larichev
Highlights
𝗧𝗵𝗲 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗨𝘀𝗲𝗿 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗶𝗻 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗿𝗲𝗺𝗮𝗶𝗻𝘀 𝗮 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲, 𝗽𝗮𝗿𝘁𝗶𝗰𝘂𝗹𝗮𝗿𝗹𝘆 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗿𝗶𝘀𝗲 𝗼𝗳 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝘀𝘆𝘀𝘁𝗲𝗺𝘀.
During reasoning, agest can generate multiple options, validate them, make decisions, or even trigger some actions, in many cases leaving users with the final fact as a result, or a cascade of internal agent communications that can overwhelm users.
Especially in industrial applications, our expectations for AI are centered on 𝘁𝗿𝘂𝘀𝘁𝘄𝗼𝗿𝘁𝗵𝗶𝗻𝗲𝘀𝘀 and 𝗲𝘅𝗽𝗹𝗮𝗶𝗻𝗮𝗯𝗶𝗹𝗶𝘁𝘆.
A system where agents operate as a black box, exchanging internal messages and making decisions behind the scenes, falls short of these expectations. Such opacity can undermine confidence in AI's outputs and hinder our ability to fully understand and trust the reasoning behind its actions.
Recently, I came across an elegant approach that addresses this challenge very well: www.flowith.io.
This platform introduces a unique approach by 𝘃𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗶𝗻𝗴 𝘁𝗵𝗲 𝘁𝗵𝗼𝘂𝗴𝗵𝘁 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗲𝘀, decisions, and alternatives of #AI agents as branches on an endless canvas. For those who like visual workspaces, this method can be an intuitive way to manage complex queries. The platform’s integration of multiple agents can summarize content, gather and describe data, and even trigger some actions —all within the same workspace.
The search for alternatives to traditional chatbot interfaces for complex #GenAI applications continues, and as 𝗔𝗜 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗴𝗿𝗼𝘄 𝗶𝗻 𝗰𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 𝗮𝗻𝗱 𝗶𝗺𝗽𝗮𝗰𝘁, developing 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 "𝗛𝘂𝗺𝗮𝗻-𝗔𝗜" interfaces will become an increasingly crucial topic.
👉 What do you think - will be the most efficient interface for interacting with AI? Will we chat with it, talk to it or will it be embedded in the background of our tools?
#UX #HAX #XAI
Interesting - Anthropic just published the system prompts for Claude freely available online.
The move to share the prompt is quite unusual in itself. But here are further interesting and quite unusual decisions I found in the prompt:
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Face Blindness: Claude is instructed to act as if it cannot recognize any faces in images.
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Avoidance of Apologies: Claude explicitly avoids saying "I'm sorry"
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Claude openly uses the term "hallucinate" to warn users about potential own inaccuracies.
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Under the tag <claude_3_family_info>, Claude openly discloses the specific strengths of different versions within its model family, which is uncommon in AI systems.
You can check it out here https://lnkd.in/eqYy65_U
if you search a bit, you can find prompts for all common AI assistants online - so the step to openly share it, might be a good step towards transparency and explainability of the AI assistants.
👉 What do you think, is the system prompt part of the intellectual property and should be protected, or will sharing it help build trust in the solutions as it includes parts of the logic of the GenAI applications?
#GenAI #ExplainableAI #XAI #Claude #Anthropic
