Why you should use Topological Data Analysis over t-SNE or UMAP? https://
bit.ly/3KyF7sN
AI
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Topological Data Analysis: Superior Alternative to t-SNE and UMAP
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Dataset Evaluation: Key Factor for AI Model Improvement
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"OpenAI said before that evaluating their dataset was one of the major factors for the huge jump from ChatGPT3.5 to 4. Let's do the same for our own applications!" @SimonNom1 expressed better than I could why we're focusing so much on end-to-end evaluations!
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Benchmarking CSV Question Answering Systems with LangChain
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Full blog here: https://
blog.langchain.dev/benchmarking-q
uestion-answering-over-csv-data/
… And full code here: https://
github.com/langchain-ai/l
angchain-benchmarks
… Just benchmarking CSV question answering for now, but others up next -
Amazon Bedrock LLMs Integration Represents Major Cloud AI Development
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Amazon bedrocks LLMs are a big integration!
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Evaluating B2B Startup Ideas: Insights from Top Founders
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So you have a startup idea. How do you know if it's a great idea, or a waste of time? For part 2 of my series on kickstarting and scaling a B2B business, I interviewed the founders of 20+ of today's best B2B startups—including @Amplitude_HQ @Linear @NotionHQ @Figma @Gong_io
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Three Worker Strategies for AI and Future of Work
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3 things workers can do to prepare for #AI and the #FutureofWork https://
bit.ly/3KHygwq via @FastCompany -
Efficient Fine-Tuning Techniques for Large Language Models
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Unlocking the potential of Generative AI! Dive into @DominoDataLab
's latest blog on efficient fine-tuning techniques for large language models like Falcon-7b & more. Cut costs, optimize resources, & boost innovation. https://
domino.buzz/3s8zZFu #ReadNow #DataScience #LLMs -
U.S. Congress Introduces Create AI Act to Transform AI Landscape
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Last month, the U.S. Congress introduced a new bipartisan bill called Create AI Act, which could potentially transform the current AI landscape. Here, HAI Director of Policy @russellwald explains why passing this legislation is crucial to the future of AI:
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Custom Agent with Python REPL and Retriever Tools
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Then we could go about improving it! Our final solution was a custom agent with two tools: – Python REPL (for doing analysis)
– Retriever (for dealing with text data present) We're excited to see other's solutions for this as well! -
LangChain Benchmarking Question-Answering CSV Data Tasks
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Recap of important links: Blog: https://
blog.langchain.dev/benchmarking-q
uestion-answering-over-csv-data/
… YouTube: https://
youtube.com/watch?v=jGnf4O
hptbA
… Code & data used: https://
github.com/langchain-ai/l
angchain-benchmarks
… We had a lot of fun doing this and learned a lot – we're going to do it for more tasks! Up next: SQL