How CD and #GitOps Help You Build a Successful K8s Platform! https://
wp.me/p6qbw8-EOK #DevOps #CloudNative #cloud #tech #lowcode #NoCode #DevSecOps #AIOps #MLOps #k8s #Kubernetes #Docker #github #Engineering #technology #OpenSource #bots #SRE #Serverless #cicd #Container #RT
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CD and GitOps for Successful Kubernetes Platform Building
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Naming Things in AI Machine Learning and Deep Learning
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Naming things https://
bit.ly/44YCGrO #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Free Statistics and Probability Course for Machine Learning
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Free statistics and probability course. Ideal for aspiring machine learning practitioners! No prerequisites. And it will take you around a month to go through it. https://
khanacademy.org/math/statistic
s-probability
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HuggingFace Trainer Push to Hub and AutoTrain SpaceRunner
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Lets say if you are using hf trainer, it has a push to hub param that can be used. if flair doesnt push to hub, you'll need to do it in the code. autotrain spacerunner is just running the code for you that you provide 🙂
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Nougat: Neural Optical Document Understanding for Academic PDFs
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6/ Nougat – proposes an approach for neural optical understanding of academic documents; it supports the ability to extract text, equations, and tables from academic PDFs, i.e., convert PDFs into LaTeX/markdown.
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Top ML Research Papers: AnomalyGPT, SAM-Med2D, Graph of Thoughts
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Top ML Papers of the Week (Aug 28 – Sep 3): – AnomalyGPT
– SAM-Med2D
– Graph of Thoughts
– Factuality Detection in LLMs
– Large Language and Speech Model
– Vector Search with OpenAI Embeddings
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Building Semantic Search Apps with ChromaDB Vector Database
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Great article by @avikumart_ on building a Semantic Search app using the #opensource vector database ChromaDB (
@trychroma
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medium.com/ai-science/bui
ld-semantic-search-applications-using-open-source-vector-database-chromadb-a15e9e7f14ce
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Essential Machine Learning Study Plan: Python to MLOps
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A minimal study plan for Machine Learning – Python
– Maths for ML
– Machine Learning
– Machine Learning Ops (MLOps) (links in next tweet) Check this out -
LLM dependency in AI reasoning systems and tool interpretation
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The reasoning part is still dependent on an LLM, how the user input is interpreted and how the response from tool is interpreted.
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Indie Devs Face Model Training Quality Barriers Without Big Data
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yea provlem is (and lmk if wrong) most indie devs cant train their own GPT models so they use openai/etc which cant get to the quality level needed with just "own or licensed content" as they need "everything online" amounts