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ChatGPT & Advanced Prompt Engineering: Driving the AI Evolution

Unite.AI

OpenAI has been instrumental in developing revolutionary tools like the OpenAI Gym, designed for training reinforcement algorithms, and GPT-n models. The spotlight is also on DALL-E, an AI model that crafts images from textual inputs. Generative models like GPT-4 can produce new data based on existing inputs.

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Few shots at a Math assistant with Orca-2-7B

Towards AI

With the release of models like Orca 2, and the latter showcased as a Small Language Model (SLM), there is another step forward in this specific direction. SLMs like Orca mimic the reasoning process of larger AI models despite exhibiting a lesser number of parameters than conventional models.

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Re-imagining Glamour Photography with Generative AI

Mlearning.ai

Life however decided to take me down a different path (partly thanks to Fujifilm discontinuing various films ), although I have never quite completely forgotten about glamour photography. Stable Diffusion — Generative AI for Paupers, Misers and Cheapskates Many state-of-the-art generative AI models are not open source or free to use.

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Auto-GPT & GPT-Engineer: An In-depth Guide to Today’s Leading AI Agents

Unite.AI

When comparing ChatGPT with Autonomous AI agents such as Auto-GPT and GPT-Engineer, a significant difference emerges in the decision-making process. Generative AI models like transformers are the State-of-the-Art core technology, driving these autonomous AI agents.

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Future of Data-Centric AI day 1: LLMs changed the world

Snorkel AI

The session highlighted the “last mile” problem in AI applications and emphasized the importance of data-centric approaches in achieving production-level accuracy. Mann’s formal education in machine learning, he said, came during a time when you optimized a model against a test set.

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Future of Data-Centric AI day 1: LLMs changed the world

Snorkel AI

The session highlighted the “last mile” problem in AI applications and emphasized the importance of data-centric approaches in achieving production-level accuracy. Mann’s formal education in machine learning, he said, came during a time when you optimized a model against a test set.

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Building Generative AI prompt chaining workflows with human in the loop

AWS Machine Learning Blog

This includes task context, data that you pass to the model, conversation and action history, instructions, and even examples. The process of designing and refining prompts to get specific responses from these models is called prompt engineering. For most reviews, the system auto-generates a reply using an LLM.