Remove Auto-complete Remove Chatbots Remove Prompt Engineering
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ChatGPT & Advanced Prompt Engineering: Driving the AI Evolution

Unite.AI

GPT-4: Prompt Engineering ChatGPT has transformed the chatbot landscape, offering human-like responses to user inputs and expanding its applications across domains – from software development and testing to business communication, and even the creation of poetry. Imagine you're trying to translate English to French.

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Beyond ChatGPT; AI Agent: A New World of Workers

Unite.AI

These AI agents, transcending chatbots and voice assistants, are shaping a new paradigm for both industries and our daily lives. Chatbots & Early Voice Assistants : As technology evolved, so did our interfaces. Tools like Siri, Cortana, and early chatbots simplified user-AI interaction but had limited comprehension and capability.

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Tool choice with Amazon Nova models

AWS Machine Learning Blog

Instead of relying on prompt engineering, tool choice forces the model to adhere to the settings in place. When using the tool choice of auto , Amazon Nova will use chain of thought and the response of the model will include both the reasoning and the tool that was selected.

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Llama 2: A Deep Dive into the Open-Source Challenger to ChatGPT

Unite.AI

Technical Deep Dive of Llama 2 For training the Llama 2 model; like its predecessors, it uses an auto-regressive transformer architecture , pre-trained on an extensive corpus of self-supervised data. Much like LLaMa 2, InstructGPT also leverages these advanced training techniques to optimize its model's performance.

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MAGPIE: A Self-Synthesis Method for Generating Large-Scale Alignment Data by Prompting Aligned LLMs with Nothing

Marktechpost

The success of LLMs in various applications, from chatbots to data analysis, hinges on the diversity and quality of the instruction data they are trained with. On the other hand, synthetic data generation methods involve using LLMs to produce instructions based on initial seed questions and prompt engineering.

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Top LangChain Books to Read in 2024

Marktechpost

The framework is widely used in building chatbots, retrieval-augmented generation, and document summarization apps. It explains the fundamentals of LLMs and generative AI and also covers prompt engineering to improve performance. The book covers topics like Auto-SQL, NER, RAG, Autonomous AI agents, and others.

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Ten Effective Strategies to Lower Large Language Model (LLM) Inference Costs

Marktechpost

Large Language Models (LLMs) have become a cornerstone in artificial intelligence, powering everything from chatbots and virtual assistants to advanced text generation and translation systems. Caching is especially effective for tasks like auto-complete or predictive text, where many input sequences are similar.