6/ LLM4Decompile A family of open-access decompilation LLMs ranging from 1B to 33B parameters; these models are trained on 4 billion tokens of C source code and corresponding assembly code.
CODE
-
LangChain SQL Agent for Processing Massive Documents
By
–
LangChain SQL Agent for Massive Documents Interaction Cool blog showing off a complete flow: Extract structured output from raw PDFs with a progressively better approach
Insert into SQL
Query using SQL agent https://
pub.towardsai.net/langchain-sql-
agent-for-massive-documents-interaction-510fc4bc65a4
… -
Rating LLM outputs: hand-labeling versus prompt-based evaluation
By
–
Determine what you care about (ex: conciseness, factuality, style, etc.). The either:
– hand rate a bunch of examples on each dimension, train a model to understand what to look for
– build a LLM prompt with Mistral or similar to do this without fine-tuning Run over all the -
AI Assistance for Data Reshaping and Statistical Tasks
By
–
This doesn’t necessarily delegating statistical work to the AI. There are lots
of useful ways it can help. I once spent way too many hours just trying to get STATA tickets reshape a dataset from long format to wide format. Wish I could have had AI then. -
Apify Adds Developer Community Discord for Networking
By
–
Thanks for adding Apify. We also have a community of developers where you can talk with other community members and network: https://
apify.com/discord -
AI Simplifies Complex Statistical Data Analysis Work
By
–
Yes! And it is even more underrated for statistics & data analysis. It simplifies doing complex data analysis by a huge amount, especially as running stats commands can be esoteric Plus, if you have any experience with statistics, it is very easy to check over the work of the Ai
-
Machine Learning with Python for Algorithmic Trading Guide
By
–
Comprehensive 822-page book on #MachineLearning with #Python for #AlgorithmicTrading (useful in many other business & industry #TimeSeries applications): http://
amzn.to/3aCyVwY by @ml4trading ——
#IoT #IIoT #Edge #AI #BigData #DataScience #EdgeComputing #Industry40 #Forecasting -
Python Finance Cookbook: 50+ Recipes for Financial Data Analysis
By
–
#Python for #Finance Cookbook — 50+ Recipes for Applying Python to Financial Data Analysis: http://
amzn.to/3QMD4Fw from @PacktPublishing ————
#Coding #DataScience #DataScientists #DataLiteracy #MachineLearning #DeepLearning #TimeSeries #PredictiveAnalytics #Forecasting #fintech -
Machine Learning Python Algorithms for Financial Risk Management
By
–
#MachineLearning for Financial Risk Management with #Python — #Algorithms for Modeling Risk: http://
amzn.to/3t7ARbG
———
#AI #DataScience #Finance #Coding #BigData #100DaysOfCode #RiskManagement #DigitalTransformation #Fintech #PredictiveAnalytics -
Implemented Neural Networks Projects and Applied Machine Learning Repository
By
–
Implemented #NeuralNetworks Projects: https://
medium.com/coders-mojo/im
plemented-neural-networks-projects-d25a6476d72b
… compiled by @NainaChaturved8 ————
#DataScience #DataScientists #AI #Coding #Python #MachineLearning #DeepLearning ————
Also see below the repository of 60+ implemented Applied ML Projects with code…