1. Simpler explanations I had a really interesting file of Customer Lifetime Value, an important metric for every business. Asked Code Interpreter to explain everything in simple language Prompt – Can you please explain this file in simpler terms
DATA
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Code Interpreter disrupts $57B data analytics market with experiments
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Chat GPT's Code interpreter is ready to wipe out 57 BILLION DOLLAR Data analytics market. Here are 10 experiments I carried out using Code interpreter for a Dataset, and the results are INSANE! FOLLOW THREAD BELOW
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Iterative Parameter Tuning in Machine Learning Model Optimization
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In particular, they "evaluate" by twisting the knobs, so to speak, until they land on a good user experience. If you've worked in data science or ML, that should sound like a very familiar experience.
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UMAP faster than t-SNE despite being slower than PCA
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Saying UMAP is slower than PCA is "the glass is half-empty" view haha.
The more positive take is: UMAP is much faster than T-SNE! -
Llama-2 Base Model and Dataset Considerations Table
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They use Llama-2 as a base model, so that should be okay. I am not a lawyer and can't give advice on the dataset aspect but here is a table from the paper that might be helpful
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Databricks founding story: from $0 to $38 billion valuation
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The founding story of @databricks (last valued at $38B)
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DataRobot AWS Partnership Enhances AI Scalability and Workflows
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“As DataRobot and AWS now become even more aligned, the potential to further leverage the strengths of both platforms with simplified workflows, enhanced scalability and accelerated time-to-market is tremendously exciting.” Read about how DataRobot has achieved the @awscloud
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Generative Models and Diffusion Models in Chemistry
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Exploring the Promise of Generative Models in Chemistry: An Introduction to Diffusion Models https://
bit.ly/3Yt08es #AI #MachineLearning #DeepLearning #LLMs #DataScience -
SAS Employees Share Productivity Secrets for Big Data
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Dealing with too much data? We asked SAS employees what makes them feel most productive. I bet you can guess their answer 👀 https://t.co/7zXzNTvevQ pic.twitter.com/qk4LJAWtkU
— SAS Software (@SASsoftware) 17 août 2023Dealing with too much data? We asked SAS employees what makes them feel most productive. I bet you can guess their answer http://
2.sas.com/6018PYmnE -
RAGAS Framework for RAG Pipeline Evaluation Webinar
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LangChain "RAG Evaluation" Webinar RAGAS is an open-source evaluation framework for your Retrieval Augmented Generation (RAG) pipelines I'm VERY excited to be doing a webinar with them next week! RAGAS Repo: https://
github.com/explodinggradi
ents/ragas
… Webinar: