?? Spotlight on Niv, our director of AI, who gave a talk to our R&D team today on the topic of fine-tuning SLMs. At the heart of Aporia stands our multiSLM agent, which involves many fine-tuned SLMs that power our AI guardrails. In the fight to get AI to be truly safe and reliable to use, it's essential to use guardrails that are not only extremely fast, but also very accurate at spotting violations. Our multiSLM engine provides both the latency and accuracy companies rely on when deploying their AI agents. But fine-tuning SLMs is not a simple process. We're constantly learning and sharing new knowledge with our team about the process to stay up to date. This way we ensure we are providing our clients with the best guardrails to safeguard their AI agents. #SmallLanguageModels #SLMs
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Finishing the course on safe and reliable AI with guardrails was a real eye-opener. It showed me just how important it is to keep AI systems secure and in check so they don’t go off-track or cause harm. I learned that guardrails aren’t just there to protect, they’re essential for building AI that people can actually trust. The course really brought home how tricky it can be to balance creating advanced AI while making sure it acts responsibly. Seeing examples of where things can go wrong made it clear why these safety measures are a must. Overall, this course gave me a new perspective on how to build AI that’s not only smart but also safe and fair. ??
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The Aii Methodology is a must-read for anyone involved in AI integration, offering a comprehensive guide to navigating the complexities of AI with the same dedication and cohesion as a seasoned crew facing the high seas. https://bit.ly/3Eaa9XP
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I help companies determine what products to make, why to make them, and then make them | Full-stack Product Manager | Start-up XP, Ex-Amazon
?? Just completed an insightful course on?AI Guardrails?by Shreya Rajpal and the team at Guardrails AI! The course provided a thorough overview of designing and implementing input/output guardrails to address critical challenges such as hallucinations, PII leakage, and off-topic responses. These strategies are invaluable for building safer, more reliable AI systems. Excited to apply these concepts in future AI projects! ?? #ai #responsibleai #rai #AIGuardrails
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Discover the heartwarming story of ElliQ, an AI that helps to combat loneliness. It's a fascinating glimpse into the future of AI companionship. https://bit.ly/3LGQ100?
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A recent work on using LLM to simulating full simplified workflow of patient's visit to hospital and evolution of AI agents is very interesting if we can make it more realistic:https://lnkd.in/gfGRtHTG
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Secure your information from catastrophe with a strategy & continuous observation. See my posts on AI & security. Sales professional, author "Value Selling Business Solutions". Avid surfer, biker, musician, singer.
Very nice to see that a major insurer is using AI in it's IDP processes with a strong customer focus agenda. Also, the way they are deploying AI with algorithms used within the firm's data is key to security and privacy. Thank you for an excellent article Mark Chillingworth for diginomica. Key concepts/ideas: 100 million documents per year. White label products. Realized that documents and processes around documents is a core business value. IDP elements- optical recognition, natural language processing, information extraction, data quality assessment. IDP platform with AI designed to give relief from non-value added tasks enabling more customer interaction. Focus on value to customer (which translates to value for business)- reduce customer stress by id'ing claims that require less documentation with AI modeling. NEVER refuse claim based on AI- human makes decision. AI strategy- data quality, data protection, data exploitation, to turn customer data into value for the customer. Their Corporate Data Analytics team is center for building, operating, and reusing algorithms. If I'm understanding this correctly, they are using AI with internal data within the firm- important security issue. What's next with AI for them? Will be interesting to watch how AI rolls out and it's impact on energy usage of such a large firm.
Global insurer BNP Paribas Cardif is cutting claims processing by using AI. Chief Data Scientist Sebastien Conort, reveals how it automates document processing and weaves in AI for intelligent claims handling. Mark Chillingworth has the story: bit.ly/3M1C255
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Discover the heartwarming story of ElliQ, an AI that helps to combat loneliness. It's a fascinating glimpse into the future of AI companionship. https://bit.ly/3LGQ100?
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The output of #LLMs is fundamentally probabilistic, making it impossible to know in advance or to guarantee the same response twice. This makes it difficult to put #LLM-powered applications into production for industries with strict regulations or clients who require high consistency in application behavior. Installing guardrails on your system gives you an additional layer of control for creating safe and reliable applications. Guardrails are safety mechanisms and validation tools built into AI applications, acting as a protective framework that prevents your application from revealing incorrect, irrelevant, or sensitive information. #AI #Safe_AI #Generativeai #reliable_ai #Good_Course DeepLearning.AI
Fine-tuning SLMs is no small feat, and it’s inspiring to see Aporia pushing the boundaries of AI safety and reliability! Niv Hertz's focus on combining speed and accuracy in multiSLM guardrails highlights the critical role of innovation in deploying trustworthy AI solutions. Kudos to the team for fostering a culture of continuous learning and excellence!