Thomson Reuters Tax & Accounting ANZ’s Post

As generative artificial intelligence (AI) progresses to becoming a common tool at work and embedded in workflows, large language models (LLMs) have reshaped what systems in the future would look like.💡 Majaliwa Bass, Vice President, Product Marketing at Thomson Reuters talks about the holistic approach the company has taken to understand and apply gen #AI principles as a #technology service provider.🖥💻⚙

🚀 Exploring AI Strategies: ways organizations harness the power of Large Language Models (LLM). Dive into three key methods—Prompt Engineering, Retrieval-Augmented Generation (RAG), and Fine-Tuning—to cater to diverse business needs. #AI #LanguageModels #BusinessStrategy Read more at https://lnkd.in/e72nWwKe

Engineering Fundamentals are crucial in designing and optimizing prompts for AI language models. Crafting the input text, known as the "prompt," is key to achieving desired outputs. #Engineering #AI #LanguageModels

Explore how Large Language Models (LLMs) are shaping our AI-driven world! From understanding their inner workings to realizing their vast versatility and real-world impact, this article is your passport to the future of AI and language convergence. 🌍💡 Dive into the incredible world of LLMs with us! 📚 #AI #LanguageModels #FutureTech #unleashthepotential #generatieveai

Supply chain leaders have been using technology to design and optimize their supply chains for decades. These days, they’re trying to understand the best way to integrate artificial intelligence and large language models (LLMs) into their existing set of tools. https://buff.ly/46DFN8Y #supplychain #logistics #ai

🔍 What Are Small Language Models (SLMs) in AI? 🧠✨ Small Language Models (SLMs) are AI models crafted to be more efficient and accessible than their larger counterparts, the Large Language Models (LLMs). Their quick training ability makes SLMs perfect for smaller organizations, experimental projects, and lightweight applications. 💻⚡ Several techniques ensure the compact size and efficiency of SLMs: 🔹Knowledge Distillation: Transfers knowledge from a pre-trained large model to a smaller one. 🔹Pruning and Quantization: Remove unnecessary parts and reduce weight precision. SLMs offer a powerful, efficient solution for many specific applications, balancing performance with resource efficiency. 🚀 #MachineLearning #SmallLanguageModels #AI #genai #EfficientAI

Elevate your content creation game with the top Large Language Models of 2024! Explore how GPT-4, BERT, T5, RoBERTa, Llama, and Gemini are shaping the future of AI. 👉 https://lnkd.in/dWRhVANi #ContentCreation #AIAdvancements

GPT-4o A testament to how far AI and language models have come in bridging communication gaps and breaking down language barriers. 🌍✨ The potential applications are limitless, from enhancing global collaboration to making information more accessible to everyone, regardless of language. Oh Google !! A tough time is coming for you in future. #AI #Innovation #GPT4 #LanguageTranslation #FutureOfWork --- What do you think?

Open Source is important to the future of Artificial Intelligence (AI) and Large Language Models (LLMs). Here are a few insights. https://lnkd.in/dnTMzMuB #Newstack #ML #ArtificialIntelligence #OpenSource #OIN #OpenInventionNetwork

🚀 As the digital landscape evolves, so do we. Our advanced platforms harness the power of large language models (LLM) and AI-assisted review to streamline the identification of crucial information. Say hello to efficiency and goodbye to time-consuming searches! #DigitalInnovation #AI #AdvancedTechnology https://lnkd.in/gNEwq9zU