~/conference

Deep Hack on Generative AI 2023

date:2023-04-01
location:Bengaluru, India
series:Deep Hack on Generative AI · one edition

generative AI engineers, machine learning engineers, data engineers, backend engineers, frontend developers, chatbot developers

Guardrails.ai rail spec; Weaviate vector database; LlamaIndex indexing pipelines; semantic search with HNSW; Cohere/Hugging Face/OpenAI embeddings; Appsmith front ends for AI stacks; audio capture to transcription pipeline; ChatGPT integration and fine-tuning JSONL; GPT-3 question generation; GPT-4 based QA evaluation

titleauthorlength
Using Guardrails.ai for building Generative AI appsShreya Rajpal31m
Open-source Guardrails.ai enforces structure, types and quality checks for LLM outputs using a small XML-like Rail spec that compiles into prompts, runs…
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Using Weaviate for building Generative AI appsSebastian Witalec27m
Open source vector database Weaviate stores embeddings from Cohere/Hugging Face/OpenAI, demo loads 100,000 chunked Wikipedia paragraphs into a WCS instance…
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Using Appsmith for building GenerativeAI appsJospeh Petty, Ron Northcutt34m
Appsmith builds a front end for GenerativeAI stacks by dragging widgets, wiring REST/GraphQL or Postgres queries, and running inline JavaScript; a working…
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Using LlamaIndex for building Generative AI appsJerry J Liu42m
LlamaIndex presents a concrete pipeline: 70+ data connectors to ingest files, APIs and databases, a vector store index (compatible with Pinecone, Chroma, etc.)…
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Deep Hack - India's first ever ChatGPT HackathonAmod Malviya, Manisha Raisinghani, Sunit Singh, Toshi Prakash05h 50m
150 builders compete over 24 hours, producing 43 demos; expect concrete prototypes, numbers and failures, not theory. Demos include a bot that logs in via OTP…
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Farmer.CHAT - A GPT-powered, multi-lingual WhatsApp botDev Aggarwal21m
A WhatsApp chatbot pulls Ministry of Agriculture videos and PDFs plus Digital Green transcripts into a vector database, transcribes regional audio with…
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Evaluation of QA systems built on LlamaIndexRavi Theja32m
Builds a QA pipeline on LlamaIndex that chunks documents into nodes and wires them to LLMs; index creation and a query loop run in four lines of code…
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