My goal next is to fine-tune phi-2 using the incredible OpenHermes-2.5 dataset from @teknium
. Stay tuned!
OPEN SOURCE
-
Fine-tuning Phi-2 with OpenHermes-2.5 Dataset
By
–
-
Phi-2-DPO-7K: Microsoft’s Fast Fine-Tuned Language Model
By
–
Introducing phi-2-dpo-7k! A Microsoft Phi-2, fine-tuned on a diverse cocktail of 7k chat interactions from @argilla_io
's latest DPO dataset, including orca pairs, ultra-feedback ratings, and capybara-dpo Runs ultra-fast on Apple Silicon, thanks to MLX -
OpenCV Merch Sales: Funding Challenges in Open Source
By
–
I have conflicted thoughts about selling OpenCV merch. Thought 1: Great, we now have OpenCV merch. Thought 2: Wow! we have to rely on merch to fund engineers. Difficult times for open source projects.
-
Document Search Retrieval RAG Open Source Guide
By
–
Document Search and Retrieval using RAG Great guide by @LightningAI and @aniketmaurya on building a retrieval pipeline Uses open source embedding and reranking models! https://
lightning.ai/lightning-ai/s
tudios/document-search-and-retrieval-using-rag?view=public§ion=recent
… -
LangChain Team Thanks Community Partners and Contributors
By
–
Immense gratitude to our partners, community and team! @Hacubu and langchain team @leonvz @MisbahSy @derekcheungsa and others for tutorials @aidivas @pooria_arab @josephpollack and others for helping with Discord community
@jaredude @automaton82 and many github contributors -
Flowise Open Source AI Project Reaches 20k GitHub Stars
By
–
Crossing 20k stars, 10k forks on Github https://
github.com/FlowiseAI/Flow
ise
… -
MLX Framework LoRA Implementation Guide Available
By
–
Yeah you can find all in the repo! https://
github.com/ml-explore/mlx
-examples/blob/main/llms/mlx_lm/LORA.md
… -
Regression Task Using Pycaret: Load, Setup, Train, Evaluate, Save
By
–
Here is doing Regression Task using Pycaret! – Load the dataset
– Import the regression module and initialise the setup.
– Train & Evaluate the model
– Save the Model Check this out: -
PyCaret: Low-Code ML Library for Simplified Workflows
By
–
To simplify PyCaret is a low-code library that helps in writing the ML workflow with just a few lines. PyCaret's module supports both supervised learning (classification & regression) and unsupervised learning (clustering) All you need to do is: "pip install pycaret"
-
PyCaret: Open-Source Python Library for Automated Machine Learning
By
–
An open-source, low-code Python Library to automate the machine learning workflows Introducing PyCaret an end-to-end Machine Learning tool that does: – Data Preprocessing
– Feature Engineering
– Model training
– Hyperparameter tuning &
– Model Evaluation Thread