6/ Are you a builder who needs a project or side-hustle completed but don’t have the time or skills to build it? Head over to Replit Bounties, post your idea, and match with a developer today!
CODE
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BabyAGI Creator Scrapes 3D Asset API for NFT Integration
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2/ @yoheinakajima
, creator of @babyAGI_
, wanted to scrape an API that hosted 3D assets for @pixelbeastsnft and use the data to set up another exposed API in a Repl. @yawnxyz delivered the Bounty within a week! -
GPT-4 Theory of Mind Investigation Through Empirical Testing
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3/ @labenz had a hypothesis that a paper on GPT-4 lacking “theory of mind” was incorrect and wanted to investigate further. He posted a Bounty for a script that used GPT-4 to run on 400 random sample problems and document the results to prove or disprove the paper findings
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Cohere Releases Comprehensive LLM University Curriculum
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LLM University – Cohere Cohere just released a comprehensive LLM curriculum. The curriculum covers basic NLP foundations and advanced topics like large language models(LLMs). Coming from a company building NLP & LLMs tools for developers and users, this LLM curriculum is as
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Create Custom ChatGPT with Abacus AI Data Integration
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Create your own Custom ChatGPT Use @abacusai to: – Ingest data from different sources
– create embeddings using open AI or BERT
– use our vector-matching engine
– feed results to GPT-4 to create a custom chat experience -
ODSC Europe 2023 Schedule Live with Speaker Topics
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#ODSCEurope’s schedule is now live! See the speakers who will be attending and the topics they’ll be presenting: https://
bit.ly/3MxGk54 by @_odsc ————
#BigData #DataScience #AI #ML #MachineLearning #DeepLearning #Python #NeuralNetworks #LLMs #NLProc #ComputerVision #GenerativeAI -
Collecting evidence and literature results from OntoNotes experiments
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Ah thanks for this! I've been looking for more direct evidence. I want to collect up a little literature of these results I tried to run an experiment on OntoNotes but it was pretty tough (rate limits etc, plus just hard to frame the right prompts for all the entity types).
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JoinBoost: SQL-based tree model training library
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"JoinBoost" is a Python library that enables the training of tree models on normalized databases using pure SQL queries, offering portability, scalability, and competitive performance. Submitted by: Zachary Huang @Columbia
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Data-IQ Framework Stratifies Training Data by Predictive Confidence
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"Data-IQ" is a versatile framework enabling the systematic stratification of training data into outcome-based subgroups using predictive confidence & aleatoric uncertainty, aiding in feature acquisition, dataset selection, & reliable model usage. By: Nabeel Seedat @Cambridge_Uni
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DC-Check: Data Quality Framework for Reliable ML Systems
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"DC-Check" is a checklist-style framework aimed at guiding the creation of reliable ML systems by emphasizing data quality and preparation throughout all stages of the machine learning pipeline. Submitted by: Nabeel Seedat @Cambridge_Uni