Decoding AI’s Black Box: Vaibhavi Gangwar’s Blueprint for Trustworthy Chatbots
Predicting the Unpredictable: Mastering AI Chatbots in the Era of Uncertainty
Last week, we shared a vision where AI Agents begin to dominate the AI landscape.
However, there are many challenges ahead.
One of the most pervasive challenges is predictability. Often, LLMs can say and do things that we did not intend.
In many ways, we are blind to the decisions they make and what led to those decisions.
What if there was a way to peel back the onion and uncover what is going on under the hood?
One approach to start this process is by gaining insights on the impact and performance of our prompts. By having clarity on the effectiveness of our prompts in different contexts and scenarios, we can improve them and the performance of our AI Agents.
In her talk, “How to Launch LLM-Powered Chatbots That Actually Work,” Co-founder of Maxim AI, Vaibhavi Gangwar, will share her framework and tools for mastering AI chatbot development and ensuring quality, speed, and reliability.
Who is Vaibhavi Gangwar?
Vaibhavi Gangwar is a trailblazer in the AI space, steering the helm at Maxim AI to craft solutions that enhance chatbot interactions across the board.
Her expertise is crucial for those aiming to leverage AI to its fullest potential, ensuring that chatbots are not only responsive but also reliable and efficient.
The Challenge of Unpredictability in AI
Vaibhavi’s session, at the Chatbot Conference, will delve into the unpredictable nature of large language models (LLMs) that often lead to unexpected outcomes.
“Even though there is tremendous value creation in the AI hardware and foundational model stack, for the benefits to be realized meaningfully up the value chain, we need the products built on top of the generative AI stack to be trustworthy and reliable,”
Vaibhavi Gangwar
This unpredictability is why her insights into standardized testing and performance evaluation are indispensable.
Transforming AI Development
This talk is set to transform how developers and businesses approach AI chatbot development.
Vaibhavi will outline methods to enhance predictability and reliability in AI systems, emphasizing the importance of effective prompt engineering and testing frameworks.
By understanding effects of a prompt, the input and output developers can improve their prompts and their overall effectiveness and performance.
Why This Talk Is a Must-Attend
For anyone involved in AI development, from engineers to business leaders, understanding how to mitigate the challenges posed by LLMs is critical.
Vaibhavi’s insights provide a roadmap to developing more reliable and efficient AI solutions that are crucial in today’s tech-driven marketplace.
Join Us
Join Vaibhavi Gangwar at the Chatbot Conference 2024 for an in-depth look at crafting effective, efficient, and reliable AI chatbots.
Her session will equip you with the knowledge to not just cope with the evolving landscape of AI but to thrive in it.
Don’t miss out on this opportunity to transform your approach to AI chatbot development. Register now for the Chatbot Conference 2024 and ensure your spot in this essential discussion.
Looking forward to seeing you in San Francisco for a groundbreaking event filled with innovation, learning, and networking opportunities.
Secure your spot today and be part of the future of AI.
Warm regards,
The Chatbot Conference Team