- UpdAgent: AI Agent Version Control Framework for Real-Time Updation of Tools - Nov 2024
- A framework that enables versioning for agents, which allows the updation of versions.
- Available at github.com/Pro-GenAI/UpdAgent
- AutoTrendyKeywords: Real-Time AI-Driven Trend-Based SEO Using LLM - Oct 2024
- Trend-based SEO to make the content stay relevant to the users despite rapid changes in trends.
- Available at github.com/Pro-GenAI/Auto-Trendy-Keywords
- LML-DAP: Language Model Learning a Dataset for Data-Augmented Prediction - Oct 2024
- Instead of ML, the paper uses the process of an LLM learning a dataset for context-aware classification decisions based on relevant data like RAG.
- Available at github.com/Pro-GenAI/LML-DAP
- AGIent and Tool-Mart: A Super-Agent Framework Enabled by Marketplace-Driven Tool Selection - Sep 2024
- Enables dynamic set of tools for agents using a database. Available at https://github.com/Pro-GenAI/AGIent
- AutoPureData: Automated Filtering of Undesirable Web Data to Update LLM Knowledge - July 2024
- Filters unwanted text using LLMs and uses Vector DB and Retrieval-Augmented Generation (RAG).
- Available at github.com/Pro-GenAI/AutoPureData
- AutoWatcher: a Real-Time Context-Aware Security Alert System using LLMs - May 2024
- Uses multimodal LLMs to monitor camera footage and create alerts on detection of suspicious threats.
- Available at github.com/Pro-GenAI/AutoWatcher
- The Power of Roles: Investigating Impact of Three Message Types on LLM Responses - Mar 2024
- Investigates the impact of three message roles, “system,” “user,” and “assistant,” on responses.
- Available at github.com/Pro-GenAI/Power-of-Roles
- AutoPrecisePrompts: Automated LLM-based Prompt Engineering for Data Processing - Jan 2024
- Automated Prompt Engineering and testing to ensure perfect prompts are crafted.
- Available at github.com/Pro-GenAI/Auto-Precise-Prompts
- iSearch: Enhanced Intelligent Search Based on a Query using LLMs - Apr 2023
- Automates the Prompt Engineering of hard prompts and the testing process to ensure perfect prompts are crafted.
- Available at https://ijcem.in/wp-content/uploads/ISEARCH-ENHANCED-INTELLIGENT-SEARCH-BASED-ON-A-QUERY-USING-LLMS.pdf
- Multilingual Prompting in LLMs: Investigating the Accuracy and Performance - Feb 2023
- Since the training data of LLM is mostly in English, the experiments finds the accuracy of various tasks using prompts in different languages.
- Available at https://ijsrem.com/download/multilingual-prompting-in-llms-investigating-the-accuracy-and-performance/.
- EaseText: Enhancing Comprehension of Complex Sentences using LLMs - Dec 2022
- Uses an LLM to simplify complex sentences that are often difficult to read, especially for non-native English speakers.
- Available at doi.org/10.51219/JAIMLD/praneeth-vadlapati/349
More information on my profile is at https://linktr.ee/prane.eth.
- LLMs - Chat with a Wikipedia page
- Used LangChain, RAG, and ChainLit (to host web page)
- LLMs - Feedback summarizer
- Used LangChain, Selenium, and Gradio (for hosting)
- LLMs - Chat with an image
- Used LangChain, and StreamLit (for hosting)
- LLMs - Prompt shortener
- Used LangChain and Gradio (for hosting)
- LLMs - Agents
- Used LangChain Agents for various tasks like searching online, fetching weather, math operations, running python code, etc.
- LLMs - Chat with Data
- Useful to chat with data to get useful insights to increase the profitability of the companies
- Generated synthetic data using LLMs
- LLMs - Model Deployment
- Used LMDeploy and FastAPI to deploy the model by emulating OpenAI API
Make sure to copy .env.example to .env and fill in the model name.
Data Science projects:
- Structured code and folders
- Common functions to reuse - common_functions.py
- LLMs - Made the LLM calls faster and cheaper for the profitability of the companies
- Applying more concepts that are useful in the real-world projects