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blog.chand1012.dev
| | nguyenhuythanh.com
7.3 parsecs away

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| | My career began in Natural Language Processing, and I've studied the mathematics and theories behind AI extensively. So when ChatGPT took the world by storm, I approached it with skepticism. I viewed Large Language Models (LLMs) as sophisticated "next word predictors" - black boxes that ingest vast amounts of data and generate plausible word sequences from initial prompts, and felt that The hype surrounding LLMs seemed overblown. I struggled to see how these "predictors" could revolutionize our work and lives.
| | blog.streamlit.io
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| | A step-by-step guide using OpenAI, LangChain, and Streamlit
| | www.capicua.com
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| | The LangChain framework enables building data-aware applications, working closely with LLMs to build unique systems. How to harness its power?
| | futurism.com
19.9 parsecs away

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| Google has unveiled a translation system that can lower translation errors by 55 to 85 percent. GNMT translates between Chinese and English, languages with a combined 1.5 billion speakers worldwide.