Here's my conversation with Chris Lattner (
@clattner_llvm
), a legendary engineer, his 3rd time on the podcast. We talk about Modular AI and Mojo, a new programming language that is a superset of Python and can achieve 35,000x+ speed ups over Python. https://
youtube.com/watch?v=pdJQ8i
VTwj8
…
CODE
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Mojo Programming Language Achieves 35000x Speedup Over Python
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Code Playback: Rewind and Replay Development Snapshots
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3/ Playback
— Replit ⠕ (@Replit) 2 juin 2023
Rewind to a specific snapshot of your code and hit the Play button to watch your code update with each individual snapshot. pic.twitter.com/N9LaVphNFU3/ Playback Rewind to a specific snapshot of your code and hit the Play button to watch your code update with each individual snapshot.
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Repl Adds Full Time Machine Code History Feature
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Every Repl is a fully-backed time machine. You can rewind to and compare any code snapshot and even watch as your code history plays out with File History.
— Replit ⠕ (@Replit) 2 juin 2023
1/ Access File History by clicking the “history” button in the lower-left corner of a code file. pic.twitter.com/sCIfgMGBvfEvery Repl is a fully-backed time machine. You can rewind to and compare any code snapshot and even watch as your code history plays out with File History. 1/ Access File History by clicking the “history” button in the lower-left corner of a code file.
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Three Tips For Keeping Your Development Pipeline Secure And Compliant
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Three Tips For Keeping Your Development Pipeline Secure And Compliant
#AI #AIio #BigData #ML #NLU #Futureofwork @Kevin_Jackson @sallyeaves @schmarzo @kdnuggets @akwyz @BrettKing @TechNative @MiaD http://
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Databricks Terraform Registry Modules for Lakehouse Provisioning
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We recently launched the experimental #Terraform Registry modules for Databricks, a set of 30+ reusable Terraform modules to provision your #Lakehouse! Take a look to see how you can easily get started using this project
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OpenSearch Tutorial: Document Embedding and Semantic Search
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3/ The tutorial includes step-by-step instructions to set up an OpenSearch instance, embed documents using Cohere, create an index for your documents, and query similar documents using Cohere embeddings.
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Semantic Search on arXiv Dataset: Beyond Lexical Approaches
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4/ Showcasing semantic search on the arXiv dataset, containing 5k scholarly articles. The search results highlight the advantages of semantic search over traditional lexical and fuzzy approaches, especially when searching complex academic content.
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Semantic Search Power with OpenSearch and Cohere Embeddings
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5/ Try it out to experience the power of semantic search firsthand. With OpenSearch's scalability and Cohere's high-quality embeddings, the potential for improved text search is boundless. https://
dashboard.cohere.ai/welcome/regist
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Semantic Search Implementation with OpenSearch and Cohere
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1/ Nabila Abraham introduces a detailed guide on implementing semantic search using OpenSearch and Cohere, a powerful combination for searching large data sets. Follow the link for a comprehensive demo:
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AI Code Generation for Complete Applications
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Note here by code AI I’m talking about generating whole apps not snippets.