Want to learn how to cut your #OpenAI spend by 50% or more with #SLMs, open-source and the latest techniques in LLM #finetuning? Great! Save your spot: https://
pbase.ai/4eZFw54
LLMS
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Reduce OpenAI Costs 50% with SLMs and Fine-tuning
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Perplexity Pro integration of ChatGPT and Claude models
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Perplexity Pro covers both ChatGPT and Claude but mainly for browsing
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Teaching Transformers Causal Reasoning Through Axiomatic Training
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Teaching Transformers Causal Reasoning through Axiomatic Training Vashishtha et al.: https://
arxiv.org/abs/2407.07612 #ArtificialIntelligence #CausalReasoning #DeepLearning -
5 Prompts to Boost Your LLM Productivity and Effectiveness
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Use these 5-prompts to help you improve your effectiveness and productivity with LLM!
— Abacus.AI (@abacusai) 12 juillet 2024
1. 80/20 principle: Identify the most important insights (20%). This way, you can become familiar with 80% of topics you do not know.
2. Get feedback on your writing: Ask LLM to proofread and… pic.twitter.com/NyFJMoY7EbUse these 5-prompts to help you improve your effectiveness and productivity with LLM! 1. 80/20 principle: Identify the most important insights (20%). This way, you can become familiar with 80% of topics you do not know. 2. Get feedback on your writing: Ask LLM to proofread and
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NAACL Tutorial: Explanations in Large Language Models Era
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NAACL 24 Tutorial: Explanations in the Era of Large Language Models https://
bit.ly/4bFOUIa
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Hinton’s Understanding Claims: Bender & Koller’s Critique Revisited
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Hinton gave a whole talk at ACL 2023 about LLMs "understanding" without actually defining the term. When I pressed him on that, he said "no one else has defined it either". I said he should read Bender & Koller 2020…
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Building Robust Enterprise AI Solutions: LLM Performance and Safety
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At Cohere, we understand the importance of successful LLM implementation in enterprise settings. By learning the economics and performance of models, product owners can build cutting-edge, responsible AI solutions with significant value.
— Cohere (@cohere) 12 juillet 2024
Learn more: https://t.co/S8lTE14b0H pic.twitter.com/eKnxSbLDQEAt Cohere, we understand the importance of successful LLM implementation in enterprise settings. By learning the economics and performance of models, product owners can build cutting-edge, responsible AI solutions with significant value. Learn more: https://
cohere.com/blog/building-
robust-enterprise-ai-solutions-insights-on-llm-performance-safety-and-future-trends
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Python, Machine Learning, MLOps, and AI Engineering Resources
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If you interested in: – Python – Machine Learning – MLOps – CV/NLP – LLMs – AI Engineering Find me →
@akshay_pachaar My Newsletter on AI Engineering → @ML_Spring Cheers! 7/n -
Hume AI’s EVI: Emotionally Intelligent Voice AI Powered by Claude
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Hume AI's EVI, powered by Anthropic's Claude 3.5 Sonnet, introduces a voice AI with emotional intelligence. Beyond standard transcription and text-to-speech capabilities, EVI analyzes users' voices to modulate tone, rhythm, and timbre, enhancing empathy in interactions. Founded