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Reducing Inference Times on LLMs by 80% Read More- https://bit.ly/4aF68W7 #LLM #InferenceTimes #MachineLearning #EfficiencyImprovement #AI #Technology #ModelOptimization #PerformanceBoost #DeepLearning #ReducedLatency

𝌭 What are Large Language Models? A Beginners Guide. 🚀 There is no stopping to learning more about what is here and what is yet to come. #LLM #GenAI #AI Read: https://lnkd.in/grTyDfjM

Reducing Inference Times on LLMs by 80% Read More- https://bit.ly/4aF68W7 For the free trial- http://bit.ly/2RgD6om Please reach out to me at- 8586076865 tanuja.rawat@e2enetworks.com #LLM #InferenceTimes #MachineLearning #EfficiencyImprovement #AI #Technology #ModelOptimization #PerformanceBoost #DeepLearning #ReducedLatency

🔍 Unlocking the Economics of AI: Comparative Cost Analysis of LLMs 🔍 Dive into our latest blog for an in-depth comparative cost analysis of Large Language Models (LLMs). Learn about the financial implications of deploying and maintaining these powerful AI tools across different scales and applications. Perfect for businesses evaluating AI investments or seeking to optimize current AI operations. Explore the key findings and make informed decisions: https://lnkd.in/dWEJxAnf #AI #LLMs #CostAnalysis #BusinessIntelligence #TechInvestment #TeneoAI

Generative AI and Large Language Models are changing the way we interact with data. In Phillip Gervasi's extensive new article, learn the history of #GenAI and #LLMs, how they operate, and how the latest models are dramatically shifting how we interface with information. 🤖

AI Models and the Future of Large Language Models Artificial intelligence (AI) has become an integral part of many industries, transforming how we approach problem-solving, data analysis, and even creativity. At the core of these advancements are Large Language Models (LLMs), which are trained to process and generate human language. This article will explore how AI models like GPT-4 work and their growing impact on various sectors. https://lnkd.in/dpxiU_JD

The AI Breakthrough That Changed Everything: Transformers Ever wondered how AI became so good at understanding language? It all began with Transformers—the tech powering today's Large Language Models (LLMs) like GPT, BERT, and more. Before Transformers, AI struggled to understand long sentences. In 2017, Google introduced the Transformer model in the paper "Attention Is All You Need," changing the game. Instead of processing data sequentially, Transformers used Self-Attention to understand context better than ever before. Here’s how Transformers paved the way for AI breakthroughs: ➤ BERT (2018): Google’s BERT model uses bidirectional Transformers to understand the context of a word by looking at both the words before and after it. It’s now a core part of how Google Search understands queries. ➤ GPT (2018-Present): OpenAI’s GPT series (Generative Pretrained Transformers) brought text generation to new heights. GPT-3, with 175 billion parameters, generates text that’s nearly indistinguishable from human writing, revolutionising industries from customer service to content creation. ➤ T5 (2019): Google’s T5 (Text-to-Text Transfer Transformer) frames all NLP tasks as text generation, creating an even more flexible AI model. Why do Transformers matter? ➤ Context Mastery: Understands full sentences, not just words. ➤ Scalability: Enabled massive models like GPT-3. ➤ Wide Applications: From chatbots to legal document analysis, they're transforming industries. The Future of AI with Transformers We’re just scratching the surface of what these models can do. Imagine a world where AI understands nuance and complex instructions—Transformers are driving us closer to that reality. Are you ready for what’s next in AI? 💡 💡 What do you think will be the next big breakthrough in AI? Share your thoughts in the comments! ⬇️ Follow Ryan Dsouza for more insights into the latest AI innovations. ♻️ Repost this to share the story of how Transformers changed AI forever. #AI #Transformers #LargeLanguageModels #LLMs #GPT #BERT #AIInnovation #FutureOfAI #ArtificialIntelligence #SelfAttention #NLP

Updates on #AI : Revolutionizing Vision AI: Multimodal Pre-Training for Large Encoders, Full article link 👇🏻👇🏻 https://lnkd.in/dmJWpdkU #artificialintelligence #machinelearning #ML

Ready to utilise the power of SLMs? See how Version 1 helps you harness the power of AI: 💻SLMs vs. LLMs: what's the difference? 📈Fine-tuning: boost performance & relevance 💡Real-world applications across industries Unlock the secrets in our blog 👉 https://lnkd.in/es7nkSHF #SmallLanguageModels #LargeLanguageModels #AIBlog #GenAI 

💡 *Optimizing the Cost of Large Language Models with Frugal GPT* 💸 LLMs are powerful but expensive. In this article titled, "Cost Optimization of Large Language Models Using Frugal GPT: A Strategic Approach for AI Teams", we have explored how Frugal GPT techniques—like dynamic model selection and adaptive prompting—can reduce costs without sacrificing performance. Perfect for scaling AI sustainably! Read more here https://lnkd.in/gcqU5iNK #AI #LLM #CostOptimization #MachineLearning #FrugalGPT