The easiest way to fine-tune models Locally or on Hugging Face Hub, now via Python "pip install autotrain-advanced"
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SQL Syntax Improvements: Pipe Notation for Enhanced Data Processing
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SQL Has Problems. We Can Fix Them: Pipe Syntax In SQL https://
bit.ly/3Y5A6iw
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
APIs 101 in Alteryx: Connecting Online Data Sources
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Need to connect and retrieve data from various online sources? Join this intermediate Alteryx webinar to learn the fundamentals of making #APIcalls from Alteryx. APIs 101 in Alteryx 10/22 Valerija Kirjackaja, @dataschoolNY Register: https://
ow.ly/yxXc50TGoy7 -
Bad if condition for water filter alert
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It's like giving a bad condition to an if condition to alert on water filter control. It's not the AI's fault. It's bad settings and testing. The danger is releasing AI systems without knowing how to design and test them. But
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Replit Community Member Launches Two New Products
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Replit community member launches two new products. Try them out!
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Open-source model merging technique simplifies parameter tuning
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Hope you'll like this technique. This makes model merging 1/ simpler by removing parameter tuning and 2/ more computationally efficient than alternatives. You can play with it today. The code is open-sourced and available on GitHub
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DAM Optimization Outperforms Techniques for SQL and German Tasks
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Case study 2: SQL + German + Korean We combined three Llama-based models and optimized coefficients on three different datasets. DAM outperforms other techniques on average: in particular in German and SQL, but falls short in Korean.
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Run Any GGUF Model from Hugging Face Hub with Ollama
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Now you can run any GGUF model from Hugging Face Hub with Ollama
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DAM Model Merging: Japanese Math LLM Optimization Results
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Case study 1: Japanese + Math model We combined shisa-gamma-7b, WizardMath-7B-V1 and Abel-7B-002 and optimized coefficients on Ichikara, MetaMathQA, and Orca-Math. DAM achieved the best average score across various tasks, matching Evolutionary Merging but with less