Reliqus’ Post

In a recent session titled "Social Justice and Prompt Engineering," the focus was on the significant impact of biases present in large language models (LLMs). These biases stem from the data used for training, which often mirrors existing societal issues, including racism and sexism. Tilde presented an overview of current research on prompt engineering and bias, offering practical examples that highlight the challenges and opportunities in this field. Participants were provided with insights and strategies aimed at crafting prompts that reduce bias. This knowledge empowers them to play a crucial role in fostering equity, both as users and developers of LLM applications. #AI #BiasInAI #PromptEngineering #SocialJustice #EquityInTech ---------------------- Learn more here: https://lnkd.in/eXNUpPZB

In a recent presentation titled "Clinical Safety Evaluation of LLMs," experts Nina Montaña Brown and Sal Khalil from Tortus discussed the critical importance of evaluating large language models (LLMs) in clinical settings. The session highlighted the development of an in-house data labeling platform, which plays a pivotal role in ensuring the accuracy and safety of LLM outputs. Additionally, the team emphasized the implementation of production monitoring systems designed for real-time safety assurance, a vital step in maintaining the integrity of AI applications in healthcare. As the use of LLMs continues to grow, the focus on clinical safety and evaluation becomes increasingly essential. #AI #Healthcare #LanguageModels #ClinicalSafety #DataLabeling ---------------------- Learn more here: https://lnkd.in/eYGUBAjD

Artificial Intelligence, or Al, is becoming increasingly prominent in our society. With constant conversation about concerns of potentially displaced jobs, fueling online bias, and spreading misinformation, the future of Al raises one simple question: Is it hurtful or helpful? Howard University is honored to host an interactive conversation on artificial intelligence moderated by President Ben Vinson Ill, in discussion with OpenAl cofounder and CEO Sam Altman. Brought to you by #WHUTtv - Howard University Television https://lnkd.in/ef3x6GqR

OpenAI is evolving its corporate structure to align with its mission of ensuring artificial general intelligence

Artificial Intelligence, or Al, is becoming increasingly prominent in our society. With constant conversation about concerns of potentially displaced jobs, fueling online bias, and spreading misinformation, the future of Al raises one simple question: Is it hurtful or helpful? Howard University is honored to host an interactive conversation on artificial intelligence moderated by President Ben Vinson Ill, in discussion with OpenAl cofounder and CEO Sam Altman. Brought to you by #WHUTtv - Howard University Television https://lnkd.in/ejhwbBeP

Big thanks to OpenAI for inviting us to speak at DevDay! Our talk focuses on context management within Amperity's natural language to SQL product, AmpAI. We use a RAG-inspired approach enabled by a series of tool calls. These tool calls help AmpAI craft "research queries" on the fly, ensuring we're passing relevant context to GPT-4o. https://lnkd.in/gyMrg_jZ

In a recent session titled "Realistic Agent Benchmarks with LLMs," experts delved into the complexities of assessing AI agents' performance in dynamic, real-world environments, with a particular focus on customer service applications. Sierra showcased the use of OpenAI's GPT-4 and GPT-4o models to generate synthetic data that effectively simulates human interactions with customer service agents. This innovative approach led to the creation of τ-bench, a benchmark designed to evaluate AI agents' reliability and effectiveness. The session highlighted the technical challenges faced during the development of this benchmark and shared findings from the evaluation of various LLM-based agents on τ-bench. Additionally, insights were provided on how to create dynamic evaluations for agents leveraging foundation models, emphasizing the importance of continuous improvement in AI performance metrics. #AI #CustomerService #LLMs #Benchmarking #Innovation ---------------------- Learn more here: https://lnkd.in/eYUweQf4

Thrilled to showcase Amperity's AmpAI at OpenAI DevDay! Our very own Joyce Gordon and Camden Clark demonstrated how we're making complex customer data analytics accessible to everyone. 𝐓𝐡𝐞 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞: Customer data lives in multiple systems with different IDs and formats, making even simple questions like "How many high-value customers do we have?" surprisingly difficult to answer. 𝐓𝐡𝐞 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧: AmpAI, our natural language to SQL tool, understanding each business's unique definitions and data structures. 𝐓𝐡𝐞 𝐢𝐦𝐩𝐚𝐜𝐭: 130% increase in data queries from customers using AmpAI over the last three months. That's what happens when you democratize data access! #OpenAIDevDay #CustomerData #AI #Analytics #Innovation

The recent discussion on "Engineering AI Agents" delves into the intricate design and development of artificial intelligence systems. It highlights the capabilities and functionalities that define these agents, emphasizing their ability to interact with users, process information, and execute tasks autonomously. The article also addresses the challenges faced in engineering these intelligent systems. Key considerations include ethical implications, user experience, and the seamless integration of AI agents with existing technologies. As industries continue to evolve, understanding the potential impact of AI agents becomes crucial. This exploration not only sheds light on current advancements but also provides valuable insights into the future trajectory of AI in various sectors. #AI #ArtificialIntelligence #Technology #Innovation #UserExperience ---------------------- Learn more here: https://lnkd.in/eBfNEE-r

These images are everywhere this week after the announcement from OpenAI and the ARC Prize that a preview of o3 was able to outperform any previous approach. This benchmark is designed to test the ability of a software system to solve problems it hasn't seen before: "ARC-AGI is the only AI benchmark that measures our progress towards general intelligence." François Chollet notes the following in his review of the o3 result: "Passing ARC-AGI does not equate to achieving AGI, and, as a matter of fact, I don't think o3 is AGI yet. o3 still fails on some very easy tasks, indicating fundamental differences with human intelligence." Test questions are available online and are fun to play with. It's very interesting to see how easy it is for humans to quickly solve problems that are still out of reach for computers. Link to try out test puzzles: https://lnkd.in/gW47CqA9