Generative Agents Applications

Browse applications built on Generative Agents technology. Explore PoC and MVP applications created by our community and discover innovative use cases for Generative Agents technology.

Investment Apprentice

Investment Apprentice (IA) is a tool that helps investment managers and analysts sort through a sea of information and analyze companies in a timely manner. The investment industry is inundated with all kinds of information, and the ability to sort through this information and sieve out noise in a timely manner is a key competitive advantage. While the industry has no issue processing structured data, processing of unstructured data is still generally done manually, requiring a high level of experience and domain knowledge. IA is a tool that can extract useful and important messages from investment articles, such as earnings transcripts, quickly and accurately. It does this by processing natural language and identifying key points, risks, and concerns by investors. More importantly, IA is impartial and objective, providing investment professionals with actionable insights to help them make better investment decisions. IA delivers results through a website. Investment professionals can use IA to quickly identify key insights from earnings transcripts, such as trends, risks, and changes from the previous quarter. IA also provides a sentiment rating for each company based on the information provided, allowing investment professionals to quickly gauge the overall sentiment around a company. IA runs in the background and is activated when new transcripts become available. Its results are stored in a database, so the process does not have to repeat when users need information. This also reduces latency and ensures that investment professionals have access to the latest insights. In summary, IA provides investment professionals with objective and actionable insights to help them make better investment decisions. Its ability to quickly process unstructured data and identify key insights gives investment professionals an edge over their competitors.

mams-nerd
Generative Agents

WIM Whatd I Miss

Ask pointed questions about a given playlist and get back a summary, key points, and related timestamps generated via AI! 🤖 Could be podcast series, a learning series, or something completely different! Can take in even very large/long series (tested on ~150 ~2-hour long podcasts)!Ask pointed questions about a given playlist and get back a summary, key points, and related timestamps generated via AI! 🤖 Could be a podcast series, a learning series, or something completely different! Can take in even very large/long series (tested on ~150 ~2-hour long podcasts)! This tool can take a YouTube transcript from one or more videos to be used to answer questions on a topic. The output will include a generated overall summary and generated key points from the video(s) by reading select parts of the transcript. The output will also include links to the relevant video, timestamped to the specific quote/snippet related to its respective key point. This tool can be useful to learners going through a video series playlist to review or identify where the series talks about a topic. It can also be used for educators in creating lessons from a series of videos. It also can be used for more casual enjoyment such as reviewing what the hosts have said on a particular topic. This use case is especially relevant for podcasts where hosts may revisit the same topic across multiple topics. Although Anthropic's Claude model can take in 100k tokens, this still creates a limit to what's read in by the LLM. This project will attempt to read in all the selected transcripts for the available model but if the transcript is too big for even the beefiest model, the tool will strategically select portions of the relevant transcripts based on the user fed question.

Vector
BERTGenerative AgentsOpenAI WhisperAnthropic Anthropic Claude