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Gleen AI is the world’s most accurate and capable generative AI for customer success teams. As featured in TechCrunch and VentureWire, our generative AI chatbot doesn’t hallucinate, can be deployed in less than 2 hours, integrates with leading help desk solutions, goes beyond simply answering questions by taking actions, and automatically unifies across fragmented knowledge. Gleen is based in Silicon Valley, CA, and our team includes veterans from LinkedIn, Microsoft, Uber, Facebook, Amazon, and McKinsey & Company. Learn more and create your own free generative AI at http://gleen.ai.
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Gleen's answer
Gleen has invested heavily in creating a generative AI solution that doesn't hallucinate. We are LLM-agnostic, and the LLM represents 20% of our tech stack. We can also work with hosted or proprietary LLMs as well.
Gleen's answer
Gleen AI doesn't hallucinate. Time and time again, our prospects and customers tell us that Gleen AI's response quality is second to none.
Gleen's answer
VPs of Customer Success, Customer Service, Customer Support
Gleen's answer
Gleen's answer
Gleen started off building generative AI chatbots for community support on Discord servers. We soon learned that our customers really loved our chatbot and were eager to work with us to improve its quality and functionality. We also realized that Gleen AI could be used for not only for community support, but also for customer support and sharing information with many external and internal stakeholders. We publicly announced Gleen AI in September, and we've been busy delighting our customers' customers ever since.
Gleen's answer
Gleen AI as an LLM-agnostic generative AI for customer support teams. We work with Open AI's GPT-4, Claude, and Llama 2, and we can also interface with proprietary LLMs. Our tech stack prevents hallucination and consists of an AI/ML layer that crawls our customers' knowledge bases on a regular basis, classifies and retrieves knowledge, and automatically determines the accuracy and relevance of generative AI responses. We also have a feedback loop with manual supervision that helps customers improve the quality of their Gleen AI responses over time.
Based on our record, Bard AI seems to be more popular. It has been mentiond 111 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Gemini: Developed by Google, Gemini is a powerful conversational AI platform that leverages the tech giant's vast resources and expertise. With its cutting-edge algorithms and scalable infrastructure, Gemini enables businesses to build intelligent chatbots and virtual assistants that deliver seamless experiences across platforms. - Source: dev.to / 4 days ago
Google AI Studio serves as a hub for integrating Google's advanced AI models, including the newly launched Gemini series. It offers a streamlined interface and features like the Gemini 1.5 model, which boasts a 1-million-token context window for handling complex datasets and queries efficiently. - Source: dev.to / 15 days ago
At this point, probably everyone has heard about OpenAI, GPT-4, Claude or any of the popular Large Language Models (LLMs). However, using these LLMs in a production environment can be expensive or nondeterministic regarding its results. I guess that is the downside of being good at everything; you could be better at performing one specific task. This is where HuggingFace can utilized. HuggingFace provides... - Source: dev.to / about 1 month ago
Https://archive.md/gkMOo *In business. Summarized in one paragraph via: https://gemini.google.com. - Source: Hacker News / about 2 months ago
I'm currently trying to find proof of concept around this idea I have. It's pretty early and any feedback is appreciated. Currently in email marketing you can personalize marketing emails based on tags and group them into fx. a segment. This allows the marketer to personalize the email to the extend an limited to the segmentation, tags of the user and usage of those tags in the emails. But what if you could fully... - Source: Hacker News / 3 months ago
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