Giuseppe ScalamognainTowards Data SciencePrompt Engineering for Cognitive FlexibilityPractical insights and analysis from experiments with MMLU-ProJul 111
Vishal RajputinAIGuysPrompt Engineering Is Dead: DSPy Is New Paradigm For PromptingDSPy Paradigm: Let’s program — not prompt — LLMsMay 2940May 2940
Thomas ReidinAI AdvancesUsing Anthropic’s Metaprompt Front-EndPrompt Engineering made a whole lot easier.12h ago12h ago
Simon GreenmanBest practices for LLM optimization for call and message compliance: prompt engineering, RAG, and…From 80% to 98%: how we enhanced LLM model accuracy for compliance in medical marketing and sales callsJun 253Jun 253
Giuseppe ScalamognainTowards Data SciencePrompt Engineering for Cognitive FlexibilityPractical insights and analysis from experiments with MMLU-ProJul 111
Vishal RajputinAIGuysPrompt Engineering Is Dead: DSPy Is New Paradigm For PromptingDSPy Paradigm: Let’s program — not prompt — LLMsMay 2940
Thomas ReidinAI AdvancesUsing Anthropic’s Metaprompt Front-EndPrompt Engineering made a whole lot easier.12h ago
Simon GreenmanBest practices for LLM optimization for call and message compliance: prompt engineering, RAG, and…From 80% to 98%: how we enhanced LLM model accuracy for compliance in medical marketing and sales callsJun 253
Andrew BestinArtificial Intelligence in Plain EnglishYou are Using ChatGPT Wrong! — #1 Mistake 99% of Users MakePrompt Engineering “Gurus” are recommending this same prompting mistake over and over again.May 2082
Adel BasliPrompt Injection Tactics: Hacking LLM Apps from the Inside OutLessons Learned from a Public Experiment: Securing and Attacking LLM-Based Apps12h ago3
Katsiaryna RukshaThree Paths to Table Understanding with LLMsLLMs (as their name states) originally aim at dealing with unstructured data in text format. But can they be applied to structured…Jun 3
