AI #GenerativeAI #Watson Weβre witnessing a basic shift in AI pushed by self-supervision and by the power to create β¦
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Meet the Unitree G1 AI Humanoid Robotic! This superior know-how is altering the sport in robotics. Uncover the capabilities of ... source
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High On demand Cloud computing Cognos DB2 BPM lotus notes Service Now Data stage RPT Cloud computing leadership with IBM leadership Websphere Maximo RPT Cloud computing leadership Cognos DB2 BPM lotus notes Service Now Data stage RPT Cloud computing leadership!
Revenue generation GDP growth πΉπ cash flow analysis Mission vision Road Map leadership Stock product stock exchange π± Newyork leadership!
Brand value strategy execution and marketing finance leadership from IIT Delhi India Asia IISc Banglore Perth Edinburgh Cambridge sterling National International business NSU sheffield Hallam University MIT US Harvard University!
Nice work.
Transparency, accountability and ability to assist employees to be more efficient will be a cornerstone in differentiating the best from the rest.
Respect to all resesrchers who are the real heros for every innovation
If you want to making more money, look closely to a binary options It can give you a great additional income
AI stocks are currently experiencing a fair amount of volatility, but if you calculate your moves correctly, you can navigate this period successfully. Bloomberg and other financial media outlets have reported instances of individuals making over 250k in just a matter of weeks or a couple of months. Therefore, I believe there are significant wealth opportunities during this turbulent period for those who know where to focus their attention.
nice videos
The whole data science course is here. π
Every one things AI and AR/VR is future.But, the reality is Matrix brain,SH bots and SH teleport bots is future.
Matrix brain is one trillion time advanced thing. It can update itself by the way of human activities, human needs, human thoughts. It can able to manage, teach, pioneer, secure,think , predict future and etc., in all kind of fields
SH bots will terminate humans in all kind of fields like production and service field.
SH teleport bot helps human to go and work anywhere in this universe with in a second. Because, space colonial system, space precious metal harvest is real future.
Hi this is Vivek from India . Student and researcher of technology, psychology and economics.
what's with all the bots in the comments?
On the basis of its fame, IBM should release a remarkable version of LLM not an AI training platform
hugging face β€
There is serious danger of systems of automated pattern recognition & content selection/generationβcombined with the harvesting of personal data and deployed for business purposes without our knowledgeβplaying God in our lives and driving people insane. You could be driving down the freeway with minimal traffic, going about your own private business, only to find billboards flashing you custom ads relating to places you've been or things you've said on social media. Or something similar at grocery stores and restaurants. We've got to exercise some restraint and put the sanctity of the human mind ahead of the desire for profits!
Today every communication can be tracked traced whether digital telephonic regular mail or even pigeons but it is not being used for making systems for public welfare better fossilized ancient political lobbies backed leaderships are not interested or care to use them asap
23:04 great explanation of why you might want your own model vs. using an open model.
π― Key Takeaways for quick navigation:
00:09 π’ AI for Business Introduction
β IBM emphasizes the importance of AI integration in business operations, highlighting the need for a high standard of trust, security, and adaptability.
β AI for business requires a hybrid-ready approach that can scale across various systems, fostering transparency and control over the models and data used.
β The focus is on creating a comprehensive AI infrastructure that extends beyond simple automation, enabling businesses to achieve more through AI integration.
01:14 π The Expansive Impact of AI
β Dr. Dario Gil discusses the widespread impact of AI across diverse industries, including customer care, logistics, medicine, manufacturing, energy, automotive, aerospace, and communications.
β AI's potential to touch every aspect of business and life is underscored, emphasizing its significance and the need for proper governance and control.
03:10 π§ Becoming an AI Value Creator
β Dr. Gil encourages individuals to shift from being mere AI users to becoming AI value creators, advocating for ownership and control over AI models and data to maximize their value.
β The importance of having multiple entry points, the ability to bring one's data, train, tune, and have transparency and control over governing data and AI models is emphasized.
β The significance of owning one's foundation models and the value they generate for the business is highlighted as a crucial aspect of AI value creation.
05:04 π Introducing WatsonX: The Integrated Data and AI Platform
β The WatsonX platform's three primary components, WatsonX.data, WatsonX.ai, and WatsonX.governance, are introduced, highlighting their roles in data management, model training, and responsible AI execution.
β Emphasis is placed on the platform's hybrid cloud architecture built on Red Hat OpenShift, enabling seamless integration and deployment of AI workloads across diverse IT environments.
06:34 π AI Workflow and Data Preparation
β The AI workflow's initial stage, data preparation, is discussed, focusing on the aggregation, filtering, processing, and annotation of data from various sources.
β Detailed insights are provided into the process of categorizing, filtering, and versioning data, along with the implementation of granular metadata for efficient data management and tracking.
09:51 π Model Training with WatsonX.ai
β The model training process is explained, highlighting the utilization of various model architectures and the WatsonX.ai platform's capabilities in tokenizing data, leveraging IBM Vela for efficient training, and utilizing open-source technologies for a simplified user experience.
β The complexity and time consumption of training models are underscored, emphasizing the platform's integration with state-of-the-art technologies and efficient resource scaling for effective model training.
12:39 π Ensuring Responsible AI with WatsonX.governance
β The role of WatsonX.governance in ensuring responsible AI execution is emphasized, outlining its function in cataloging data and model fact sheets, enabling traceable governance, and facilitating necessary updates for proper AI governance.
β The importance of constant monitoring and updating within the data and model factory is highlighted, emphasizing the need for seamless updates without disrupting underlying applications leveraging foundation models.
16:01 π‘ Deployment and Integration of Foundation Models
β Insights into the deployment of foundation models across various applications and platforms are provided, emphasizing their integration in IBM products, Red Hat products, and collaborative partner solutions.
β Examples of specific applications, including Watson Assistant and the IBM NLP library, demonstrate the scalability and versatility of the deployed models in addressing diverse business needs and industry-specific requirements.
25:37 π Expansion to Other Domains
β Hugging Face's AI adoption in various domains, including video, recommender systems, time series, biochemistry, and more.
β AI as the default tech for building various features and workflows.
β Exciting developments in chaining different models for more complex systems and improved capabilities.
27:07 π¨ Watsonx Usage and Features
β Insight into Watsonx, an AI platform with features like prompt lab and tuning studio for model deployment and management.
β Application of Watsonx for tasks like summarization, customer care, and detailed tuning processes.
β Examples of companies like SAP, Red Hat, BBVA, Moderna, NASA, and WiX utilizing foundation models for various applications.
29:31 π‘ IBM's AI Announcements and Achievements
β Overview of IBM's significant AI-related announcements, including Watsonx, foundation models, and the data model factory.
β Integration of foundation models into various products and collaborations with partners like Hugging Face, PyTorch, and Ray.
β Advancements in AI hardware, including the Telum NC16 processor and the IBM Research AIU, optimized for superior performance with Rat Hat software stack.
32:25 π Business Strategy with Foundation Models
β Essential tips for businesses in leveraging foundation models, emphasizing urgency, value creation, community involvement, and responsible AI practices.
β Emphasis on building with open hybrid technologies and prioritizing governance throughout the AI lifecycle.
β Encouragement for businesses to utilize Watsonx for the development and deployment of generative AI models.
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I'm willing to get money these Fuckers are gonna combine their quantum computing with Ai and basically create a God
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