Exploring and Unleashing the Full Potential of Large Language Models
Founder’s Note
Most people think "chat" apps are the only use for large language models (LLMs) due to the ChatGPT’s popularity.
However, before ChatGPT's rise in 2022, many applications built with large language did mostly what we called “completion" tasks. This meant giving the model a text and letting it predict what text was most likely to come next. These earlier LLM applications, such as Data2Text, Text2Data, machine translation, and Named Entity Recognition, worked just as well for their specific tasks. They helped automate processes and handle large amounts of text, making it easier to clean and format data.
Now, with the vastly improved technology, you can leverage these advancements and even more to boost your company’s efficiency, cutting down on repetitive tasks and increasing productivity with AI.
If you are ready and looking to build AI applications that will make your work faster and better. Reach out to us today at specialists@edenai.co.za!
Bami Oni
Our Blog Posts
Exploring Text Completion, Data Processing, and LLM Automation
Large Language Models (LLMs) like GPT-4 are transforming modern work by enhancing text generation, data processing, and automation, driving creativity, efficiency, and productivity across industries. Whether it's completing thoughts, assisting with coding, or generating customer support responses, LLMs excel in text completion, streamlining workflows and sparking innovation. They also process massive data sets, uncovering valuable insights, and automating complex tasks like invoice processing and workflow orchestration, making operations faster and more scalable. While challenges such as data privacy and performance optimization remain, LLMs are powerful tools for businesses to unlock new levels of efficiency and innovation. Contact Eden AI to explore how LLMs can transform your business.
The Growth Phases of LLMs
The evolution of Large Language Models (LLMs) is a testament to decades of innovation, from early neural networks like LSTMs in the 1990s to today’s transformative models like GPT-4. Key milestones such as the introduction of word embeddings in the 2010s and the 2017 advent of transformers revolutionised natural language processing, leading to breakthroughs like GPT-2, GPT-3, and GPT-4 with their massive parameter counts and multimodal capabilities. While these giants dominate, smaller models like RETRO highlight the importance of optimization over scale. As we approach the potential of Artificial General Intelligence (AGI), human-AI collaboration promises to reshape industries, making it essential to ensure responsible, efficient, and impactful AI deployment. Eden AI is here to help businesses harness this future through tailored AI solutions.
Programmer’s Humour
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Balancing LLM Cost Vs Performance
To maximise the performance of large language models (LLMs) while controlling costs, Eden AI recommends several strategies: upgrading hardware for faster processing, selecting the right model size to avoid unnecessary expenses, using quantization to reduce model size and costs without sacrificing quality, fine-tuning models for specific tasks to optimise resource allocation, crafting clear and concise prompts to improve accuracy and reduce errors, and adopting an analytical approach with tools like LLMstudio to track performance and expenses. These strategies help businesses strike a balance between AI performance and cost-efficiency for scalable, long-term success.
What's Next in AI Innovation?
As we approach 2025, AI and data science are transforming South Africa's business landscape across various industries, from healthcare providers using AI to predict disease outbreaks and reduce costs, to mining operations adopting AI solutions. Key trends include the need for generative AI to deliver real economic value across sectors, the industrialisation of data science with investments in platforms and automated tools, and the rise of data products combining analytics and AI for clearer and more consistent use. The role of traditional data scientists is evolving, with increased reliance on citizen data science and automated tools, while companies are consolidating data and tech leadership to better align strategies with business goals. Stay ahead in the AI revolution—contact Eden AI for expert guidance.
AI Update
ETH Zurich and the Max Planck Institute’s latest muscle-powered robotic leg is redefining robotic mobility. Unlike traditional robots that rely on outdated motors, this groundbreaking design uses artificial muscles, enhancing energy efficiency, agility, and adaptability. Capable of high jumps and rapid movements, it reacts to obstacles without complex sensors, setting a new benchmark in soft robotics. As it undergoes further development, it promises to transform applications from rescue operations to advanced robotic systems.
Deep Learning Indaba Senegal 2024
Our very own Bami Oni, the visionary Founder and CEO of Eden AI, made known his contribution to AI at the Deep Indaba 2024 hosted in Senegal, an event dedicated to strengthening Machine Learning & Artificial Intelligence across Africa.
Other Articles
Chatbot Data Science Revolution
The integration of chatbots into data science has revolutionised how businesses and researchers interact with data by making it more accessible and user-friendly. Through natural language processing, chatbots enable efficient data exploration, real-time insights, personalised analytics, and automated tasks, even for users without technical expertise. They enhance collaboration, improve data interpretation, and allow for scalable analysis, while also offering predictive capabilities. This chatbot-driven revolution empowers organisations to unlock valuable insights and make informed decisions faster and more effectively.
Quick Insights through Prompt-Driven Analysis
Quick Insights through Prompt-Driven Analysis enable businesses to swiftly extract meaningful insights from complex data by using natural language prompts to guide AI models, like ChatGPT, in data analysis. This approach democratises data access, allowing users without coding expertise to perform advanced analyses, prototype solutions, and enhance collaboration between analysts and AI. It improves decision-making by providing deeper insights into what happened, why it happened, and what might happen next. By automating repetitive tasks and uncovering hidden data narratives, prompt-driven analysis boosts efficiency, productivity, and customer experience.
More Reads
Large Language Models 101: History, Evolution and Future
Large Language Models (LLMs) are advanced AI systems designed to process and generate human-like text by learning from vast datasets. They can perform a wide range of tasks like answering questions, translating languages, generating content, and analysing sentiment, drawing parallels to the historic Library of Alexandria in terms of their breadth of knowledge. Evolving from early NLP models like Eliza in the 1960s to cutting-edge transformer models like GPT-3, LLMs have made significant strides in conversational AI, machine translation, and content creation. Despite their power, LLMs face challenges such as ethical concerns, bias, high computational costs, and the potential for misinformation. Future developments aim to improve accuracy, efficiency, and self-improvement, making LLMs even more impactful across industries.
A jargon-free explanation of how AI large language models work
Large Language Models (LLMs) are advanced AI systems that learn to understand and generate human-like text by analyzing massive amounts of written data, predicting the next word in a sequence. Using neural networks with billions of parameters, they can perform tasks like answering questions, translating languages, and summarizing information. Despite their complexity, LLMs essentially work by recognizing patterns in text, enabling them to mimic human language and reasoning, all while continuously improving their performance with more data and fine-tuning.
E-Token
Our team here at Eden AI is creating E-Token. E-Token is a way to incentivize people for their positive energy habits and drive them towards a climate neutral goal.
It is a project that was selected from amongst 100s of projects to be presented worldwide and presented in Fountainbleau, Paris at the Blue Ocean Awards.
E-Token provides a platform where these non-customers can now become customers of the energy efficiency industry. We also ensure that people imbibe positive energy habits in order to meet their climate goals.
A Look Behind The Curtain
Bami Oni founded Eden AI to improve life by providing services such as Computer Vision, Machine Learning, Data Science and Analytics, and AI advisory.
Join us in actively using AI to apply effective solutions in societal and business contexts.
Contact us: specialists@edenai.co.za
Check out our website: https://edenai.co.za
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