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Open Parse
Open Parse
Beyond text splitting - improved file parsing for LLM’s - Filimoa/open-parse
·github.com·
Open Parse
Automating Pull Request Reviews With CodiumAI PR-Agent
Automating Pull Request Reviews With CodiumAI PR-Agent
Motivation If you are a developer, you know how much time you spend on pull request reviews. We all try to write the best code we can. When we are done, we ask our team members to review our code. Sometimes, making a pull request is more complex than it sounds. Over time, teams learn that pull requests need to be standardized to speed things up and improve communication. That is why we have a pull request template, for example.
·rnemet.dev·
Automating Pull Request Reviews With CodiumAI PR-Agent
LocalSend
LocalSend
·localsend.org·
LocalSend
X
X
·twitter.com·
X
Reverse engineering the recipe for excellent documentation
Reverse engineering the recipe for excellent documentation
Stay updated with best practices for technical writers. Includes an API documentation course for technical writers and engineers learning how to document APIs. The course includes sections on what an API is, API reference documentation, OpenAPI specification and Swagger, docs-as-code publishing and workflows, conceptual topics, tutorials, API documentation jobs, and more.
·idratherbewriting.com·
Reverse engineering the recipe for excellent documentation
Tiny Predictive Text - Adam Grant
Tiny Predictive Text - Adam Grant
Predictive Text Using only 13KB of JavaScript. No LLM. permy.gif Try it here | Code | Permy This is a simple POC of using Permy with a simple JSON dictionary for predictive text that is surprisingly …
·adamgrant.info·
Tiny Predictive Text - Adam Grant
Phi-2, the New Year Gift for Language Model Lovers
Phi-2, the New Year Gift for Language Model Lovers
An introduction to Phi-2, a compact language model that is similar to Gemini Nano. The limits of LLM, and how to fix in engineering.
·pub.towardsai.net·
Phi-2, the New Year Gift for Language Model Lovers
Nomic Blog
Nomic Blog
Nomic releases a 8192 Sequence Length Text Embedder that outperforms OpenAI text-embedding-ada-002 and text-embedding-v3-small.
·blog.nomic.ai·
Nomic Blog
How to Become an AI Engineer from a Fullstack Background - Reid Mayo
How to Become an AI Engineer from a Fullstack Background - Reid Mayo
Swyx’s watershed essay “The Rise of the AI Engineer” revealed the need for evolving your talents to seize the opportunities of the future; but how can you ra...
·youtube.com·
How to Become an AI Engineer from a Fullstack Background - Reid Mayo
Transformer Architecture explained
Transformer Architecture explained
Transformers are a new development in machine learning that have been making a lot of noise lately. They are incredibly good at keeping…
·medium.com·
Transformer Architecture explained
Understanding vector search and HNSW index with pgvector - Neon
Understanding vector search and HNSW index with pgvector - Neon
Vector embeddings have become an essential component of Generative AI applications. These embeddings encapsulate the meaning of the text, thus enabling AI models to understand which texts are semantically similar. The process of extracting the most similar texts from your database to a user’s request is known as nearest neighbors or vector search. pgvector is […]
·neon.tech·
Understanding vector search and HNSW index with pgvector - Neon
RAG But Better: Rerankers with Cohere AI
RAG But Better: Rerankers with Cohere AI
Rerankers have been a common component of retrieval pipelines for many years. They allow us to add a final "reranking" step to our retrieval pipelines — like...
·youtube.com·
RAG But Better: Rerankers with Cohere AI