With the rush to adopt generative AI to stay competitive, many businesses are overlooking key risks associated with LLM-driven applications. We cover four major risk areas with large language models such as OpenAI’s GPT-4 or Meta’s Llama 2, which should be vetted carefully before they are deployed to production for real end-users: In the following sections, we will … [Read more...] about LLM Safety Checklist: Avoiding Common Traps in Generative AI Applications
chatbots
What ChatGPT Knows about You: OpenAI’s Journey Towards Data Privacy
After all the concerns raised by ChatGPT’s data outage on the past 20th of March, we quickly observed some reactions from the outside world. The most forceful one? Italy banning ChatGPT for data privacy concerns. Nearly one month after the incident, OpenAI has already taken some actions regarding user data privacy: The possibility to turn off the chat history … [Read more...] about What ChatGPT Knows about You: OpenAI’s Journey Towards Data Privacy
Most Powerful 7 Language (LLM) and Vision Language Models (VLM) Transforming AI in 2023
In the rapidly evolving field of artificial intelligence, natural language processing has become a focal point for researchers and developers alike. Building on the foundations of Transformer architecture and BERT’s bidirectional upgrade, several groundbreaking language models have emerged in recent years, pushing the boundaries of what machines can understand and … [Read more...] about Most Powerful 7 Language (LLM) and Vision Language Models (VLM) Transforming AI in 2023
Exploring Creativity in Large Language Models: From GPT-2 to GPT-4
Creativity as envisioned by Midjourney. Generated by the author This article was originally published on the author’s blog and re-published to TOPBOTS with permission from the author. In recent weeks, people have used large language models (LLMs) to generate a variety of creative content, such as books, flash fiction, rap battles, and music chords. But is it possible to … [Read more...] about Exploring Creativity in Large Language Models: From GPT-2 to GPT-4
Unconstrained Chatbots Condone Self-Harm
WARNING. This post contains references to self-harm and suicide. It includes conversations between a human and DialoGPT, with the sole purpose of surfacing the danger of uncontrolled AI. If you or a loved one are dealing or have dealt with suicidal thoughts, I suggest skipping this article. In the context of an accelerating mental health crisis, Natural Language … [Read more...] about Unconstrained Chatbots Condone Self-Harm
100 Best Bots For Brands & Businesses
You’d never expect Mark Zuckerberg, king of social networks, to publicly admit that “messaging is one of the few things that people do more than social networking,” but the evidence is now indisputable. In 2015, Business Insider reported that messaging apps overtook social networks in popularity. Since then, every major messaging product - from Messenger to iMessage, Slack … [Read more...] about 100 Best Bots For Brands & Businesses
Answer These 5 Basic Questions Before You Build A Chatbot
Here a bot, there a bot, everywhere a chatbot—there's no denying that chatbots are drawing a great deal of attention lately! You may be asking yourself, "Is now the right time for our business to hop on the chatbot bandwagon?" If so, you're not alone: Many companies are exploring the benefits of using bot technologies to support all kinds of business use cases. Just take a … [Read more...] about Answer These 5 Basic Questions Before You Build A Chatbot
The Opportunities & Challenges of AI In Healthcare
When we asked dozens of venture capitalists where they see the most potential for applied artificial intelligence, they unanimously agreed on healthcare. Technology has already been used to incrementally improve patient medical records, care delivery, diagnostic accuracy, and drug development, but with A.I. we could achieve exponential breakthroughs. Deep learning first … [Read more...] about The Opportunities & Challenges of AI In Healthcare
5 Metrics Every Chatbot Should Track
40% of a typical bots’ users only engage in one conversation. This statistic, calculated by Ilker Koksal, co-founder of Botanalytics, suggests bot makers need to invest more effort to measure bot metrics and performance and deliver value to users. Traditional metrics like DAU / MAU and analytics tools like Google Analytics or Mixpanel work well for websites and mobile apps, … [Read more...] about 5 Metrics Every Chatbot Should Track
When Bots Go Bad: Common UX Mistakes In Chatbot Design
Bots will one day sweet-talk their way into our good graces, but that day is not today. Judging from recent debacles such as Microsoft’s Tay and the fembots of Ashley Madison, AI-assisted bots still have a long way to go before gaining genuine and socially acceptable conversational skills and great chatbot ux. Just visitYouTube and you’ll realize that giving bots an eerily … [Read more...] about When Bots Go Bad: Common UX Mistakes In Chatbot Design