TechAfrica News’ Post

This week, I had the opportunity to attend the AI Accelerator Institute Generative AI Summit 🤖. It was an educational experience to learn more about the strategies companies and local governments are adopting for generative AI and the potential future of Artificial General Intelligence (AGI). Here are a few key takeaways:   🔹 Tiny LLMs: The Path to On-Device LLMs is the shift from traditional LLM tasks to more complex AI agent tasks. These agents will be capable of integrating planning, executing API calls, and performing complex tasks for users, thereby extending LLM capabilities. Despite challenges such as finite training data and fixed context lengths, the promising advancements of “tiny LLMs,” like Microsoft Phi-3 and Salesforce Tiny Giant, demonstrate that small models can be highly effective and efficient for on-device applications, such as mobile devices 📱. I’m particularly excited to see future implementations with Apple Intelligence 🍏.   🔹 The Future of AGI is defined as a model’s ability to learn and reason at a human level, interactively and in real-time. This has the potential to revolutionize industries and everyday life 🌍. Personal AGI agents could act as extensions of our brains 🧠, providing perfect memory and instant access to information. However, achieving AGI necessitates a shift from Generative Pre-trained Transformer models to cognitive architectures that mimic human intelligence, with a focus on concept formation and adaptive learning. More resources and focus will be required to develop AGI in the future. The question remains: Are GPTs a stepping stone to superior models or a dead-end?   🔹 Business and Commercialization in AI - As Gen AI technology solutions are widely adopted and aligned with business needs, there is an urgent need to overcome the challenges in building machine learning models while maintaining core values and effectively using data to identify problems 📊. Generative AI models are not a one-size-fits-all solution, but rather a time-saving strategy implemented to help identify specific problems within organizations. Additionally, the need for agility, balancing innovation with safety, and ensuring model transparency to minimize bias are essential practices when navigating AI implementation 🛠️.   A special thank you to the team at Aigo.ai - The Company with a Direct Path to AGI for sponsoring my attendance at the Generative AI Summit 🙏.   #GenerativeAI #ArtificialIntelligence #TinyLLMs #AGI #MachineLearning #AIInnovation #TechConference #AIImplementation #DataScience #AIResearch #OnDeviceAI #FutureTech #TechTrends #AICommunity #Innovation #BusinessStrategy

Mistral AI is for sure one of my favourite builder of LLMs. Open-source and not expensive to deploy on your own infrastructure. Rumor has it they also have a 400B parameter open-source model on the way. In this blog, we discuss who Mistral AI are and why they should be important to your business. #MistralAI #PrivateLLMs #OpenSource #ClairoAI

I am looking forward to talking about how Oakland built Network Rail's customised Generative AI solution at the CQI | The Chartered Quality Institute annual conference. The work with Network Rail is a great example of using AI in practical, positive ways—building a 'virtual analyst' who can understand both the context of NR and extract meaning from thousands of lessons-learned reports. If you would like to read the case study, please click on the link. https://lnkd.in/g6MwDcUQ #GenerativeAI #AISolutions #ArtificialIntelligence #EverythingData

I’m thrilled to announce that I’ve successfully completed the MIT Generative AI Foundations from MIT Horizon 🎓🚀 🔍 What I Learned: Generative AI Basics: From GANs (Generative Adversarial Networks) to VAEs (Variational Autoencoders), I explored the fundamental techniques behind Generative AI. Applications: I discovered how Generative AI can transform various domains, including art, music, and content generation. Ethical Considerations: Understanding the ethical implications of AI is crucial. We discussed bias, fairness, and responsible AI deployment. 🚀 Generative AI is reshaping the way we work: Automated Content Creation: Imagine AI-generated marketing materials, personalized emails, and even code snippets. Enhanced Creativity: Generative models inspire new ideas, whether in design, storytelling, or scientific research. Data Augmentation: Boosting model performance by generating synthetic data for training. 🤔 Challenges Ahead: While Generative AI holds immense promise, we must address challenges: Bias Mitigation: Ensuring fairness and avoiding biased outputs. Interpretable Models: Making AI decisions transparent and understandable. Data Privacy: Balancing innovation with privacy concerns. #GenerativeAI #AI #MIT #LifelongLearning ...and YES, this post was created with the help of #MicrosoftCoPilot - but we need to remember what we've learned: GenAI is a tool. How we use the outcome is up to us

🎉 I've just completed the "Generative AI and Its Impact to Everyday Business" course from Skillsoft! Excited to apply these new skills and insights to drive innovation and efficiency in my work. 🚀 #AI #GenerativeAI #LifelongLearning #Skillsoft

This session offers a comprehensive exploration of generative artificial intelligence (AI) within the Databricks ecosystem, guiding learners from conceptual understanding to practical deployment by Nicolas Pelaez . Participants will delve into the theoretical foundations of generative AI and gain hands-on experience with training, evaluating, and deploying models using Databricks' powerful platform. Databricks Samantha Menot Kaniz Fatma Dr. Guillermo G Schiava D'Albano #databricks #ai #artificialintelliegence

🚀 Embarking on a Generative AI Journey: Insights & Implementations 🚀 Hello LinkedIn Family! Today marks the beginning of an exciting series where we'll dive deep into the transformative world of Generative AI and its myriad use cases. As we stand on the cusp of AI-driven innovation, it's crucial to understand not just the technology itself, but how it can be applied to drive real-world impact across various industries. 🔍 What to Expect: In the coming posts, we'll explore the breadth and depth of Generative AI, covering both proprietary models like OpenAI's GPT series and Google Cloud's Gemini, as well as groundbreaking open-source models that are making waves within AWS's Bedrock service, including Claude 2 and Llama 2. ✨ Segments & Highlights: - Best Practices Across the Spectrum: Whether you're working with proprietary giants or leveraging the power of open-source, we'll uncover the best practices that ensure success in implementing these technologies.    - Generating & Storing Embeddings in Vector DBs: A deep dive into how we can efficiently generate and manage embeddings to power search, recommendation systems, and more, leveraging the capabilities of vector databases.    - Prompt Optimization Techniques: Mastering the art of prompt engineering is crucial for maximizing the performance of Generative AI models. We'll explore strategies and techniques to craft prompts that elicit the best outputs.    - RAG (Retrieval-Augmented Generation) Production Implementation: An exploration of how RAG models can be implemented in production environments to enhance question-answering systems, content generation, and more, providing a practical guide to bringing these models to life. 🌐 Why This Matters: Generative AI is not just a buzzword—it's a set of technologies that are reshaping how we create, innovate, and solve problems. By sharing insights, use cases, and best practices, we aim to equip professionals with the knowledge to leverage AI not as a distant future, but as a practical tool in their current arsenal. This series is for anyone curious about AI, from beginners to experts. Your thoughts, experiences, and insights are invaluable as we navigate this journey together. Share your questions, challenges, and successes as we delve into the fascinating world of Generative AI. Stay tuned for our first deep dive coming soon, and let's unlock the potential of AI together! #GenerativeAI #AIInnovation #OpenSourceAI #ProprietaryAI #AIImplementation #TechnologyTrends #FutureOfWork #AICommunity

Interesting forum for people in R&D… and people interested in the application of AI

It's a misconception that groundbreaking AI development is strictly confined to Silicon Valley. This view often blinds people to the incredible innovations happening in regions like Canada, home to a rapidly growing AI development community. I've witnessed Canada's tech sector blossom. Here's your guide to navigating the vibrant world of Canadian AI development services. https://lnkd.in/dYKnQmDg #canadaai #aidevelopment #artificialintelligence #machinelearning #bigdata