sohomx

lingua

prompt compression using LLMLingua.

solana-pay

A point-of-sale web app that allows us to take payments from customers in person.first, we present a QR code that they can scan with a Solana wallet to make the payment. As soon as they do our app will update to show that they’ve paid.

starling

Starling-7B is a open LLM developed through Reinforcement Learning from AI Feedback (RLAIF), scoring 8.09 in the MT Bench evaluation with GPT-4 as the judge.

meditron

medical RAG QA app using meditron 7B LLM, qdrant vector database, and PubMedBERT embedding model.

shopping_0

from the api call which connects to the scraper - the reminding progress and tweaked a bit due to bugs. If in future there are bugs, pull out branches from here

mymoneydapp

Developed our own crypto-currency on the Solana blockchain or our own spl-token in the Solana

chatwithpdf

emojiLLM

emoji LLM uses medical diagnosis questions and their corresponding emoji responses through ReFT

flashrank

re-ranking with flashrank

gemini

gemini model demonstrates remarkable versatility in it's visual understanding, classification, summarization, or generating content from images and videos,

giskard

Giskard is an AI-powered personal assistant that helps users manage tasks, schedule appointments, and provides personalized recommendations, ensuring that the models are not just high-performing but also ethical and secure

idefics

fine-tuning the image-aware IDEFICS 9B multimodal language model on a custom dataset for enhanced conversational abilities.

LCM-LoRA

Image Generation: SDXL with LCM LoRA.

lidagraph

matmul

MatMul language modeling.

meme-coin-dapp

A meme coin is a cryptocurrency that has almost no value and doesn't do anything interesting. It's just a coin, like Shiba Inu or dogecoin. Meme coins are basically just culture coins, and people trade them because they like memes.

metadata

transforming RAG pipeline through metadata

phi

how to implement and infer using the Microsoft/phi-2 base model, which is designed to harness high-quality, textbook-level datasets to achieve remarkable results.

powerfinder

activation locality to optimize neural network computations charging LLMs for performace

quartz

rag-vector-dbs

few ways to implement advanced RAG

runpod

Script sets up an environment using RunPod's API to create and manage a pod hosting Falcon-40B LLM, on two NVIDIA A100 80GB GPUs

shopping

A web scraper built using OxyLabs. It fetches products with their prices and descriptions and sorts_by with the given information tally provided

slim

SLIM models by LLMWare

solvent

a simple program to transform tokens to and from the program (which can be released after _token_time_ mentioned as in the form of vault)

training-w-gpt-2

using distilgpt2 to comprehend diseases and symptoms, exploring dataset loading, tokenization, hyperparameter tuning, and text generation, empowering contextual understanding in medical contexts.

unsloth-

utilize the imdb dataset for fine-tuning a pre-trained 7b mistral language model (quantized at 4 bits), targeting improvements in text generation performance.

vectara

using the Word Embedding Association Test (WEAT) and Demographic Diversity Analysis and using vectara's hallucination evaluation model to understand how it transforms the LLMs

vision

wandb

leveraging Weights & Biases to monitor RAG pipeline