Expertise
Project Management
Frontend Development
Backend Development
Industry
IT
Timeline
6 weeks
Tech stack
ChatGPT API, LangChain
Our cutting-edge prototype was developed with a deep understanding of Generative AI. We employed best practices for prompt engineering, focusing on summarizing, inferring, and transforming tasks. The powerful ChatGPT API (GPT 3.5 and GPT 4 models) forms the chatbot's backbone, enabling complex query handling.
We harnessed Langchain for LLM application development, allowing efficient transcription management and note generation, including summaries, actions, and key points. The tool's Q&A functionality enables users to extract relevant information from transcripts.
Sentiment analysis integrated into the prototype provides insights into the emotional tone of the transcriptions. A performance and cost metric system for multiple variants ensures optimal chatbot performance. We resolved transcription limitations and chat history issues, creating a reliable user experience.
Lastly, we assessed the potential and costs of integrating third-party platforms like SageMaker and Huggingface to create a streamlined and efficient technology stack.
This prototype was also a great warm-up before our next project, utilizing AI and a chatbot - we just started working on a solution facilitating the use of Confluence resources.
In developing our Generative AI Prototype, we aimed to provide a platform where users could browse meeting notes created from transcriptions, ask questions about recorded meetings, and receive detailed answers without needing to sift through the notes.
However, this ambitious vision posed several unique challenges:
With our tool, you can effortlessly garner insights from meetings without the hassle of reviewing extensive notes or long recordings.
It utilizes pioneering natural language processing techniques to transcribe, analyze, summarize, and highlight the core points of meetings. Not just that, it enables users to interact with a chatbot for real-time access to summarized data, streamlining the process of fetching specific details or clarifications.
Say goodbye to laborious manual searches as our Generative AI Prototype brings all necessary information to your fingertips with a simple chatbot query.
Expertise
Project Management
Frontend Development
Backend Development
Industry
IT
Timeline
6 weeks
In developing our Generative AI Prototype, we aimed to provide a platform where users could browse meeting notes created from transcriptions, ask questions about recorded meetings, and receive detailed answers without needing to sift through the notes.
However, this ambitious vision posed several unique challenges:
Our cutting-edge prototype was developed with a deep understanding of Generative AI. We employed best practices for prompt engineering, focusing on summarizing, inferring, and transforming tasks. The powerful ChatGPT API (GPT 3.5 and GPT 4 models) forms the chatbot's backbone, enabling complex query handling.
We harnessed Langchain for LLM application development, allowing efficient transcription management and note generation, including summaries, actions, and key points. The tool's Q&A functionality enables users to extract relevant information from transcripts.
Sentiment analysis integrated into the prototype provides insights into the emotional tone of the transcriptions. A performance and cost metric system for multiple variants ensures optimal chatbot performance. We resolved transcription limitations and chat history issues, creating a reliable user experience.
Lastly, we assessed the potential and costs of integrating third-party platforms like SageMaker and Huggingface to create a streamlined and efficient technology stack.
This prototype was also a great warm-up before our next project, utilizing AI and a chatbot - we just started working on a solution facilitating the use of Confluence resources.
With our tool, you can effortlessly garner insights from meetings without the hassle of reviewing extensive notes or long recordings.
It utilizes pioneering natural language processing techniques to transcribe, analyze, summarize, and highlight the core points of meetings. Not just that, it enables users to interact with a chatbot for real-time access to summarized data, streamlining the process of fetching specific details or clarifications.
Say goodbye to laborious manual searches as our Generative AI Prototype brings all necessary information to your fingertips with a simple chatbot query.
