Valere’s Post

This is hands down the biggest challenge in AI — verifying the accuracy of AI output. Sure, AI gives you instant answers, saves you hours, and makes your life easy. But how do you ensure its output is 100% trustworthy? While building our AI agent, we’re currently manually collecting realtime data from actual sources or using crawlers to test the validity. While we can automate the output schema or use AI-generated synthetic data, the real content might still have to be verified manually. Until we have the next wave of AI solutions, what might help is: -Creating a central repository or a marketplace for annotated data. -Sophisticated synthetic data generation for different use cases.

Why it’s important to look at how generative AI is being implemented in the real world and what kinds of safeguards and standards are being built into the process to make it work reliably.

Our latest AI update from Dan Carpenter delves into the evolving landscape, highlighting advances in the space and notable regulatory changes. Read more at the link here: https://bit.ly/3UIQx2E

Rapidly ship AI without guesswork Evaluate your AI applications with Braintrust: the enterprise-grade stack for building high quality AI products. From experiment tracking, to prompt playground, to data management, we take uncertainty and tedium out of shipping AI.

We don't often post on Fridays, but exciting news can't wait! Redflag AI was just recognized by Built In as one of 17 Silicon Valley companies moving the Artificial Intelligence industry forward!! We're so honored to have made the list!! Check out the article below 👇 #innovation #artificialintelligence #antipiracy #redflagai https://lnkd.in/gYyTzHni

Open AI is living up to its name by including public input into the rules governing AI design and development.

Excited to share my latest achievement: earning a skill badge in 'Prompt Design in Vertex AI'. Equipped with the tools to optimize AI models for real-world impact. Ready to unlock new possibilities in AI-driven innovation. #Google #GoogleCloud #VertexAI #AIML #SkillBadge #Innovation"

𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜: 𝗔 𝗚𝗹𝗶𝗺𝗽𝘀𝗲 𝗶𝗻𝘁𝗼 𝘁𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 Generative AI is undeniably shaping the trajectory of various sectors. From Seattle's proactive approach to setting tech policies to its potential role in rejuvenating the mobile phone market, the influence of generative AI is palpable. Yet, as with any technological advancement, it brings its own set of challenges, such as the recent copyright concerns raised by news publishers. It's intriguing to think how generative AI might be the catalyst for positive change soon. By harnessing its capabilities responsibly, it could allow us to pave the way for innovations that not only enhance our daily lives but also address larger societal challenges. Stay informed and be part of the conversation. Here are some recent articles to delve deeper: -- https://lnkd.in/gcPn4x6X -- https://lnkd.in/gn7rVS8N -- https://lnkd.in/gpvgrxwc

A lot of what has gone on in Gen AI ties neatly to Amara’s Law—Over estimating the impacts in the short run and underestimating the impact in the long run—and weee seeing that play out now across the AI landscape. Gone are the days when LLM-based apps were everything. The appetite, correctly so, is how AI technologies like LLMs can be used as part of an end-to-end solution that solves meaningful business problems.