Navigating traditional bank websites can be an exasperating experience due to their complex menu structures. The Personalized Financial Advice Chatbot (PFAC) is designed to revolutionize this by using advanced natural language processing and machine learning. PFAC interprets user intents and preferences, streamlining information retrieval and enhancing the user experience. Instead of getting lost in the maze of menus, users can simply ask PFAC for account balances, loan advice, or any financial queries in plain language. PFAC aims to make online banking more user-centric, providing a stress-free, straightforward way to manage finances. This project delves into technical details, benefits, and the potential to transform online financial advice.

Fine-Tuning 24-hours Challenge

PFAC: Your personalized financial advice chatbot, simplifying online banking. No more menu confusion, just instant assistance.

Cognitive

GAN models contain two neural network models - a generator and a discriminator. They play together to be better in every epoch. One generates images, second verifies them.

BERT stands for Bidirectional Encoder Representations from Transformers. You can fine-tune it and get state-of-the-art results in a wide variety of natural language processing tasks

BERT

Personalized Financial Advice Chatbot Using NLP

Similar to an App Store, the Assistant Store is a platform that allows you to buy Assistants crafted with realistic voices and descriptions done by other users in the Assistant Factory. It will be a market of Assistants. The idea will be that some users could build their own voices and descriptions and sell them to other users. If there are famous actors or movie characters willing to lend their voices and descriptions, it will be very interesting for people to be able to talk to people they admire or movie characters that they love. The platform could take a percentage of the revenue generated by the users who crafted the Assistants when they sell their Assistants to the users.

Eleven Labs AI Hackathon

Similar to an App Store, the Assistant Store allows you to buy Assistants crafted with realistic voices and descriptions done by other users in the Assistant Factory

Assistant Store

ElevenLabs is a voice technology research company, developing the most compelling AI speech software for publishers and creators.

ElevenLabs

Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification.

Whisper

OpenAI is an AI research and deployment company

OpenAI

Large language models (LLMs) have transformed the way we approach machine learning and artificial intelligence. These models are incredibly powerful, but their true potential lies in their ability to work in harmony with other sources of data and computation. This library has been developed to assist developers in building applications that combine LLMs with other technologies, allowing them to create truly intelligent and innovative products.

LangChain

Langchain

Assistant Store and Assistant Factory

Finding top applicants is a time consuming, rigorous process that involves juxtaposing many resumes for comparison. This process is messy and may overlook qualified candidates in favor of time. TAS is the ultimate time-saving intelligent tool that allows recruiters to select their top candidates to interview. Instead of reviewing each submission one-by-one, a list of resumes is uploaded to TAS and analyzed. All resume data is parsed via OCR to allow recruiters to input both text and image-based PDFs. The recruiter then specifies an assessment question ("Which of these candidates for Finance Manager has experience in the Aviation industry?") to which GPT-3's assessment of that criteria will be provided back to the recruiter.

Salz21 AI Hackathon

TAS helps recruiters find and shortlist applicants that best align with their company needs

AI-ku Poets

ChatGPT is a large language model trained by OpenAI to generate human-like text in a conversational style. It is a variant of the GPT-3 model, which was specifically designed to be used to generate text in response to user input. The ChatGPT model has been trained on a vast amount of text data, including conversations and other types of human-generated text, which allows it to generate text that is similar in style and content to human conversation. ChatGPT can be used to generate responses to questions, code, make suggestions, or provide information in a conversational manner, and it is able to do so in a way that is often indistinguishable from human-generated text. The initial model has been trained using Reinforcement Learning from Human Feedback (RLHF), using methods similar to InstructGPT, but with slight differences in the data collection setup. The model is trained using supervised fine-tuning, where human AI trainers provided conversations in which they played both sides—the user and an AI assistant. The trainers would have had access to model-written suggestions to help them compose their responses.

ChatGPT

Access large language models that can understand text and take appropriate action — like highlight a post that violates your community guidelines, or trigger accurate chatbot responses

Cohere Classify

Cohere is a Canadian startup that provides natural language processing models that help companies improve human-machine interactions

Cohere

GPT-3 stands for Generative Pre-trained Transformer 3 and it is an autoregressive language model that uses deep learning to produce human-like text. It is the third-generation language prediction model in the GPT-n series created by OpenAI. GPT-3 is currently in open beta.

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