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Areas Served: Engineering Prompt Chains With Language Models to Craft a “Summarizer Almighty” Web App
Author(s): LucianoSphere Originally published on Towards AI. Photo by Andreas Klassen on Unsplash Summarizing long texts or scanning them for pieces of information can be a tedious task, especially when you’re pressed for time. And certainly very hard when you are looking …
Large Language Models and GPT-4: Architecture and OpenAI API
Author(s): Simranjeet Singh Originally published on Towards AI. Introduction Large language models have revolutionized the field of natural language processing in recent years. These models are trained on massive amounts of text data and can generate human-like language, answer questions, summarize text, …
CompressedBART: Fine-Tuning for Summarization through Latent Space Compression (Paper Review/Described)
Author(s): Ala Alam Falaki Originally published on Towards AI. Paper title: A Robust Approach to Fine-tune Pre-trained Transformer-based Models for Text Summarization through Latent Space Compression. “Can we compress a pre-trained encoder while keeping its language generation abilities?”This is the main question …
Building Customized Chatbots for the Web Using gpt-3.5-turbo, the Real Language Model Behind ChatGPT
Author(s): LucianoSphere Originally published on Towards AI. Summary, source code ready to use, and an example chatbot to go play with right away OpenAI released yesterday API endpoints for Whisper, their speech recognition engine, and for GPT-3.5-turbo, which, as explained on their …
Memorizing Transformer
Author(s): Reza Yazdanfar Originally published on Towards AI. How To Scale Transformers’ Memory up to 262K Tokens With a Minor Change?Extending Transformers by memorizing up to 262K tokens This article is a fabulous attempt to leverage language models in memorizing information by …
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