Remove BERT Remove Continuous Learning Remove Prompt Engineering
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Training Improved Text Embeddings with Large Language Models

Unite.AI

More recent methods based on pre-trained language models like BERT obtain much better context-aware embeddings. Existing methods predominantly use smaller BERT-style architectures as the backbone model. For model training, they opted for fine-tuning the open-source 7B parameter Mistral model instead of smaller BERT-style architectures.

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Charting the Impact of ChatGPT: Transforming Human Skills in the Age of Generative AI

Marktechpost

The study also identified four essential skills for effectively interacting with and leveraging ChatGPT: prompt engineering, critical evaluation of AI outputs, collaborative interaction with AI, and continuous learning about AI capabilities and limitations.

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Beyond ChatGPT; AI Agent: A New World of Workers

Unite.AI

Deep learning techniques further enhanced this, enabling sophisticated image and speech recognition. Systems like ChatGPT by OpenAI, BERT, and T5 have enabled breakthroughs in human-AI communication. Transformers and Advanced NLP Models : The introduction of transformer architectures revolutionized the NLP landscape.

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2024 Layoffs and LLMs: Pivoting for Success

The MLOps Blog

TL;DR In 2023, the tech industry saw waves of layoffs, which will likely continue into 2024. Due to the rise of LLMs and the shift towards pre-trained models and prompt engineering, specialists in traditional NLP approaches are particularly at risk. Or should they start to look for new career opportunities?

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The future of productivity agents with NinjaTech AI and AWS Trainium

AWS Machine Learning Blog

These agents can break down complicated, multi-step tasks into branched solutions, and are capable of evaluating the generated solutions dynamically while continually learning from past experiences. We performed content filtering and ranking using ColBERTv2 , a BERT-based retrieval model. MyNinja.ai

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From Prototype to Production: Mastering LLMOps, Prompt Engineering, and Cloud Deployments

ODSC - Open Data Science

This post is meant to walk through some of the steps of how to take your LLMs to the next level, focusing on critical aspects like LLMOps, advanced prompt engineering, and cloud-based deployments. BERT being distilled into DistilBERT) and task-specific distillation which fine-tunes a smaller model using specific task data (e.g.

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How Tealium built a chatbot evaluation platform with Ragas and Auto-Instruct using AWS generative AI services

AWS Machine Learning Blog

Generating improved instructions for each question-and-answer pair using an automatic prompt engineering technique based on the Auto-Instruct Repository. Their AI vision is to provide their customers with an active system that continuously learns from customer behaviors and optimizes engagement in real time.