Deciphering Human Language for Machines: A Developer's Guide to NLP
dev.to·11h·
Discuss: DEV
🌳Tree-sitter
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Continuous Autoregressive Language Models
shaochenze.github.io·13h·
Discuss: Hacker News
📱Edge AI
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Understanding Tokenization in Large Language Models
pub.towardsai.net·1d
🔤Language Design
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The 5 FREE Must-Read Books for Every LLM Engineer
kdnuggets.com·3h
💬Prompt Engineering
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Radar Trends to Watch: November 2025
oreilly.com·1d
🎭Program Synthesis
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My dumb prompts that worked better
blog.nilenso.com·1d
💬Prompt Engineering
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Post-training methods for language models
developers.redhat.com·1d
💬Prompt Engineering
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Detailed Technical Documentation on AI Implementation Logic (Taking Large Language Models as an Example )
nbtab.com·1d·
Discuss: DEV
📱Edge AI
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Master Python Web Scraping with 5 Real-World Projects
github.com·5h·
Discuss: DEV
🐍Python
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Lessons from Implementing RAG in 2025
truestate.io·7h·
Discuss: Hacker News
🔍RAG
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A brief guide for those who slept (on AI) the last two years
github.com·49m·
Discuss: DEV
💬Prompt Engineering
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Snowflake builds new intelligence that goes beyond RAG to query and aggregate thousands of documents at once
venturebeat.com·1d
🔥DataFusion
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The Next Frontier in NLP: Smarter Agents, Not Just Bigger Models
pub.towardsai.net·10h
💬Prompt Engineering
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AI Summarization Optimization
schneier.com·2d·
Discuss: Hacker News
💬Prompt Engineering
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Building a Multimodal RAG That Responds with Text, Images, and Tables from Sources
towardsdatascience.com·1d
🔍RAG
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Automated Figure-Text Alignment & Knowledge Extraction for Scientific Literature
dev.to·17h·
Discuss: DEV
🧮Embeddings
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Planning > Agents: Getting Reliable Code from LLMs
repoprompt.com·14h·
Discuss: Hacker News
💬Prompt Engineering
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Neurosymbolic Deep Learning Semantics
arxiv.org·11h
🧮Embeddings
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