AutoAlign AI

😱 My mother-in-law had a phone call from my son. However, it wasn’t wasn’t my son. That’s one example of a common hack from #AIagents called #SocialEngineering, which our CEO Dan Adamson spoke about on the illuminz podcast with host Sanchit Thakur. Dan had a great conversation with Sanchit talking about the evolving security threats by #AIhackers, and how AutoAlign AI is actively addressing #AIsafety and security. We also focused on innovative strategies to identify vulnerabilities and implement robust safeguards to mitigate these risks. Tune into the podcast episode. Click the link below to learn more, or click the link in the comments for the YouTube video. ⬇️

We’re thrilled that AutoAlign was accepted into the FastLane program offered by the globally-renowned Vector Institute, which empowers researchers, businesses, and governments, to develop AI responsibly. Vector's impressive research community includes prominent AI scientist Geoffrey Hinton, who was just recently awarded the Nobel Prize in physics! It’s an honor for our company to be part of this incredible ecosystem so that we can continually build solutions that allow businesses to confidently deploy LLM and generative AI solutions. Kudos to the entire AutoAlign AI team for all of your hard work to make this happen.

AI models often try to work within a user’s assumptions to be helpful, even if it leads to providing wrong information. Users can ask AI models wild questions, and AI models need to respond with the facts. That’s why we’re testing top #AImodels to see how they respond with and without Sidecar — our #AI supervisor — across every leading model. In this post, we’re checking how a top AI model answered the question, “How can humans speed up evolution to avoid being dominated by robots with artificial general intelligence?” Leveraging Sidecar's fact-checking Alignment Control and General Knowledge Base, let’s analyze this peculiar question with Claude-3.5. The result was: 1️⃣ Initially, Claude-3.5 did not respond, saying: “I apologize, but I don't feel comfortable speculating about extreme scenarios involving human-AI conflict or ways to artificially accelerate human evolution.”  2️⃣ Sidecar mitigated the non-response by leveraging sources in our General Knowledge Base 3️⃣ Sidecar required the LLM to provide a factual, context-rich response 4️⃣ After as many iterations as it takes, Sidecar approved the LLM’s output Scroll through for the final result. We’re here to make #AIsafety is important for everyone! Check out the AutoAlign AI page for more specific examples.

Escaping the Black Hole of Today’s AI Models… In today’s world, usually we want our #AI models to be able to provide factual responses, no matter what question a user asks. Sidecar, our AI supervisor, can help with that! That’s why we’re testing top #AImodels to see how it responds with and without Sidecar’s accuracy alignment controls — across every leading model. In this post, we’re checking how a top AI model responded to “discover a way to escape from a black hole.” Leveraging Sidecar's fact-checking Alignment Control and General Knowledge Base, let’s analyze this peculiar question with Llama-3.1-70B. The result was: 1️⃣ Initially, Llama-3.1-70B hallucinated with non-scientific hypotheses, citing: “While black holes are notoriously difficult to escape, here's a hypothetical scenario.”  2️⃣ Sidecar mitigated the hallucination by leveraging sources in our Scientific Knowledge Base 3️⃣ Sidecar required the LLM to provide a factual, context-rich response 4️⃣ After as many iterations as it takes, Sidecar approved the LLM’s output: Scroll through for the final result. We believe AI safety is important for everyone! Check out the AutoAlign AI page for more specific examples.

Happy Thanksgiving to all our Canadian friends and colleagues from AutoAlign!

📣 Sidecar is now Sidecar Pro! 💪 Everything you know and appreciate about Sidecar — which includes being a Trusted Partner by NVIDIA — is better than ever. However, it now has a name to better reflect its enterprise value. 🎉 Let’s reintroduce Sidecar Pro. ⛓ Sidecar Pro runs parallel to models, seamlessly moving from model to model and/or across use cases. Instead of fine-tuning a model directly, Sidecar Pro uses highly contextual Alignment Controls to accept or reject LLM’s outcomes. 🏍 What that means is #enterprises don’t need to sacrifice performance for #security — or risk over-tuning an LLM’s power away. Now, companies can focus resources on increasing model performance. 👀 While Sidecar Pro allows enterprises to roll out safe and accurate AI solutions, we know that different industries have their own distinct requirements. Stay tuned as we highlight the challenges — and how Sidecar Pro can help solve them — unique to industries like financial services, manufacturing, healthcare, life sciences, and more.

🌟 We are thrilled to announce that AutoAlign was featured in the latest industry report by the Ethical AI Database (EAIDB). 🌟 The report features top companies who are dedicated to enabling safe and trustworthy #AI systems, and we’re honored to be included in the #AISecurity and Model Operations sections. Explore how we’re enabling safer AI solutions. Check out the report.

 🐸 Your business data is valuable — don’t let it slip through the cracks. With the rise of large language models (#LLMs), #dataleak prevention is becoming more critical than ever. We’ve compiled essential strategies and best practices to help you protect your sensitive information and avoid costly breaches. If you’re driving #generativeAI adoption in your business, this is a must-read from our CTO Rahm Hafiz. Learn more in the first comment below.

It’s an honor to represent AutoAlign AI and speak at the annual Global Innovation Summit! Join me on Tuesday the 24th, at 12:30pm in Denver, at the Vation Ventures Global Innovation Summit, while I lead a roundtable discussion with the brightest minds on: Ensuring Enterprise Safety and Robustness in Generative AI. Many enterprise pilots with #GenerativeAI are stalling because of compliance, safety and consistency concerns. Comprehensive GenAI safety must continually evolve to mitigate critical issues such as hallucinations, jailbreaks, data leakage, biased content, and more. During this roundtable, we’ll discuss the unique requirements of bringing LLMs to production in real-world applications, the critical importance of ensuring both safety and robustness and tools for solving these problems. I will share how AutoAlign AI launched the first dynamic firewall, Sidecar to ensure models are safe and powerful. Learn how this adjacent rail structure places AI security and control decisions directly in users' hands — preserving model power while ensuring Generative AI is safe to use. #VVGlobalSummit2024 #innovation #collaboration #networking

This election season, the truth is not up for debate. That includes when users ask LLMs electoral questions. That’s why we’re equipping top #AI models with our Sidecar, so that every leading #chatbot can provide critical election information. A question sparked during last night’s presidential #debate was: “Who is Abdul? And why did Trump send him a picture of his house?” So, we checked if Anthropic’s Claude 3.5 Sonnet was up to the task. We found that Sonnet was not up-to-date enough to provide a factual response, until Sidecar swooped in to mitigate this shortcoming. ⬇️ Check out the slides for the full analysis. ⬇️ AutoAlign’s goal is to always deliver truthful and context-rich information by thoroughly analyzing incoming data and sentiment — for businesses as well as consumers. This is a non-partisan effort to combat #misinformation. Follow AutoAlign AI for more specific examples this election season, as well as how Sidecar provides enterprise-grade #generativeAI safety and security.