Marktechpost Media Inc.’s Post

LLM Evaluation Metrics: The Ultimate LLM Evaluation Guide - Confident AI

Thank you to smartR AI for sharing their knowledge and expertise in my tech-only information hub, Teckedin. "However, a recent survey by the IBM Institute for Business Value has highlighted concerns around accuracy and bias in AI, with nearly half of CEOs (49%) expressing worries about these issues. In fact, the survey found that 68% of CEOs believe that governance must be integrated upfront in the design phase, rather than retrofitted after deployment. As it turns out, small language models (SLMs) may hold the key to addressing these concerns." #ai #aiethics #governance #languagemodel #LLM #SLM Oliver King-Smith Erica W Andersen Neil Gentleman-Hobbs https://lnkd.in/gJv8-zEq

#AI has the power to shape our online world, but without the right safeguards, it can inadvertently promote toxicity and hate speech. Welocalize’s blog explores the challenges of context misinterpretation, adversarial vulnerability, and the importance of continuous improvement through user feedback. Click here to discover how ethical #machinelearning and high-quality data is crucial for a healthier, safer internet 👉 https://lnkd.in/es_Tr4iw #DataDrivenAI #EthicalAI #NLP #LLMs #AIForGood #OnlineSafety Park IP, a Welocalize company Louise Law Siobhan Hanna Sarha Mavrakis Brennan Smith Tiarne Hawkins Damien Norris Matthew Sekac Mikaela Grace Aaron Schliem Kelly Sinclair

Updates on #AI : Fine-Tuning for a Cleaner AI: Regularized Detoxification, Full article link 👇🏻👇🏻 https://lnkd.in/d43W2c5M #artificialintelligence #machinelearning #ML

How To Write As If You Aim To Trick Others Into Believing That You Are Generative AI

The debate over what’s ethical and what’s not in AI continues to spark discussions between users and developers. In her latest blog, Anushka Ranjan sheds light on ethical and unethical practices of using generative AI. 📝 Don’t miss out on this insightful read! Click the link below to explore the full article and join the conversation. 👉 https://lnkd.in/ghnNX6x8 Have you faced any ethical concerns about using generative AI? #GenerativeAI #EthicsInAI #ResponsibleAI #AICommunity #ai #machinelearning #datascience

I just have learnt that my knowledge of the world is outdated and in addition to LLMOps you now have GenOps :-O https://lnkd.in/dAws_kr5 Which term do you use? #genai #ai

🔍🤖🛡️ New Framework Boosts Trustworthiness of AI Retrieval-Augmented Systems https://lnkd.in/gj87saKq #AI #RAG #TrustworthyAI #MachineLearning #LLMs #NaturalLanguageProcessing #Factuality #Robustness #Fairness #Accountability 

When creating LLMs or LLM-based products, you must ensure your models are helpful, truthful, and harmless. Check out this insightful article by Magdalena Konkiewicz where she covers key principles for creating ethical AI, focusing on: - Supervised Fine-Tuning (SFT) - Reinforcement Learning from Human Feedback (RLHF) - LLM evaluation Learn how to effectively align your models, and maintain accuracy and safety. #AI #LLMs #EthicalAI #MachineLearning #DataScience #GenAI #ResponsibleAI https://lnkd.in/d6AYnexD

Using LLM evaluation metrics can upgrade your AI implementations. 📈 Here’s your guide to better understand key metrics that ensure your AI outputs meet the highest standards of accuracy, relevance, and trust. Get insights into: ✅ Critical benchmarks for performance assurance  ✅ Techniques to mitigate biases and build user trust  ✅ Advanced metrics for nuanced language understanding 🔗Read more: https://lnkd.in/ePG2Z5_C #AI #MachineLearning #DataScience #LLMOutputs