We gather virtually to discuss new technologies, present useful demos and experiments, and moderated Q&A from the live audience. These recordings are an opportunity to be creative with peers and demonstrate developments in the AI field by getting beyond the headlines, to getting our hands on with these new technologies.
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We gather virtually to discuss new technologies, present useful demos and experiments, and moderated Q&A from the live audience. These recordings are an opportunity to be creative with peers and demonstrate developments in the AI field by getting beyond the headlines, to getting our hands on with these new technologies.
Apple Intelligence, Microsoft GraphRag, Pycon Nigeria, and Intelligence
AI DIY
54 minutes
1 year ago
Apple Intelligence, Microsoft GraphRag, Pycon Nigeria, and Intelligence
In this conversation, the hosts discuss various topics related to AI, including Apple's new intelligence features, Microsoft's GraphRAG release, and Meta's Llama 3.1 model. They explore the implications of these advancements and discuss the potential for experimentation and preparation for the future of AI. The conversation covers various topics related to artificial intelligence and its impact on different aspects of life. It explores the use of AI tools like LangSmith and Grok for testing and comparing models. The conversation also highlights the importance of AI in the global South and the need for diversity and inclusivity in the development of AI technologies.
The speakers discuss the concept of intelligence and how AI can augment human capabilities. They share personal experiences and examples to illustrate the potential of AI in various fields.
Apple's new intelligence features, showcased at WWDC, indicate a shift in the way they approach artificial intelligence, with a focus on on-device local LLMs and a fabric representation of Siri.
Microsoft's GraphRAG is a solution to the problem of LLMs lacking trustworthy intrinsic knowledge. It uses knowledge graphs to augment and empower searching functionality, allowing for more accurate and context-aware responses.
Meta's Llama 3.1 model, with its massive 400 billion parameters, brings us closer to a commercial-grade AI comparable to GPT-4. The model can be compressed using quantization techniques to reduce memory usage while maintaining quality.
Experimentation and preparation for the future of AI can involve signing up for developer betas, exploring platform APIs, and recreating existing use cases with new AI technologies. LangSmith and Grok provide useful AI tools for testing and comparing models.
AI has the potential to empower people in the global South and drive innovation in developing countries.
Intelligence is not limited to standardized tests or logic; it encompasses diverse perspectives and the ability to offload work from the human brain.
AI can augment human capabilities and free up time for more meaningful tasks.
The development of AI should prioritize diversity, inclusivity, and ethical considerations.
Understanding Microsoft's GraphRAG
Exploring Apple's New Intelligence Features AI Empowerment in the Global South
Augmenting Human Capabilities with AI
"AI is going to be complementary to the user experience that Apple can provide."
"Apple Intelligence should be coming this fall."
"GraphRAG is a solution to curb the lack of trustworthy intrinsic knowledge in LLMs."
"LangSmith, in their playground now, I can test existing prompts in our products against different models and across data sets."
"Grok is hosting Lama 3.1, you get the context, but then you also get the grok inferencing speed."
"AI has the potential to make significant improvements to agriculture in developing countries."
AI DIY
We gather virtually to discuss new technologies, present useful demos and experiments, and moderated Q&A from the live audience. These recordings are an opportunity to be creative with peers and demonstrate developments in the AI field by getting beyond the headlines, to getting our hands on with these new technologies.