When connecting LLMs to your data, semantic search is a great first pass – but to get even better performance you can turn to more advanced techniques: Contextual Compression
Self Query
Time weighting Going live in 30m to talk about this and more!
PROMPT ENGINEERING
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Advanced Techniques for LLM Data Connection Beyond Semantic Search
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Running a Business Solely with ChatGPT: Hustle GPT
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I've just released a fascinating new video on my YouTube channel that you absolutely must see: "What’s Hustle GPT: Can you really run a business solely using ChatGPT?" You can watch it here: https://
youtube.com/watch?v=2AAezO
JqHtw
… #AI #ChatGPT #HustleGPT #Automation #BusinessFuture -

IterationX: AI System Learning from User Control Interventions
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I was talking to the founder/CEO today of IterationX, featured here (@mehdidjabri).
— Robert Scoble (@Scobleizer) 8 juin 2023
This works like my Tesla does when I take abrupt control back from the AI. It asks me to tell it why I took control.
This lets your customers do the same, then feed that into an AI that keeps… https://t.co/5R3drFezMJI was talking to the founder/CEO today of IterationX, featured here (
@mehdidjabri
). This works like my Tesla does when I take abrupt control back from the AI. It asks me to tell it why I took control. This lets your customers do the same, then feed that into an AI that keeps -

PromptBench: Evaluating LLM Robustness Against Adversarial Prompts
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PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts paper page: https://
huggingface.co/papers/2306.04
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… The increasing reliance on Large Language Models (LLMs) across academia and industry necessitates a comprehensive understanding of their robustness -

Generating Diverse Text Data with LLMs and Human Input
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Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions paper page: https://
huggingface.co/papers/2306.04
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… Large language models (LLMs) can be used to generate text data for training and evaluating other models. However, -

Multi-Hop Reasoning in Language Models via Soft Prompts
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Triggering Multi-Hop Reasoning for Question Answering in Language Models using Soft Prompts and Random Walks paper page: https://
huggingface.co/papers/2306.04
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… Despite readily memorizing world knowledge about entities, pre-trained language models (LMs) struggle to compose together two or more -

M3IT: Large-Scale Multi-Modal Multilingual Instruction Tuning Dataset
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M3IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning paper page: https://
huggingface.co/papers/2306.04
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… Instruction tuning has significantly advanced large language models (LLMs) such as ChatGPT, enabling them to align with human instructions across diverse tasks. -
Maximize ChatGPT Potential: Essential Tips and Prompts
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How to Harness the Full Potential of ChatGPT: Tips & Prompts: ChatGPT is a groundbreaking AI-enabled tool that uses GPT-3.5 technology to generate natural language responses to user inputs. Its versatility and ability to understand complex instructions… https://
analyticsvidhya.com/blog/2023/05/h
ow-to-harness-the-full-potential-of-chatgpt-tips-prompts/?utm_source=dlvr.it&utm_medium=twitter
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Fine-tuning and Operationalizing LLMs: People and Processes First
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Going to #FullyConnected? Tech complexity can be daunting, but remember, people & processes > algorithms. Join @joshmineroff at 6:20 PM, Coatue Breakout for insights on fine-tuning, deploying & operationalizing models. #AI #responsibleAI #LLMs