Aitagem
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Aitagem's GenAI visualization demo
• Aitagem GenAI analyzes & understands your data
• GenAI natural language input auto-generates visuals
• GenAI easily generates any graphs you like
• Edit all your graphs so easily
Aitagem's GenAI DeepFake demo
• Are you talking to a real person or a fake person?
• While you are running a Zoom / Microsoft Teams / Google Meet video call, start our Aitagem GenAI Deepfake detection software too (Works best on desktop).
• Aitagem GenAI does real-time scans of the person during your video call.
• Accurately spots any Deepfakes with high accuracy (False positive rates at <0.16% now, further development underway.)
• Can spot if the other person is reading from script, based on eye movements, reflection, tone, and many other variables.
• Please note that the detection software results are NOT guaranteed. Results vary depending on each situation. Users are advised NOT to make definite judgments/conclusions based solely on the results of our software output or other software output. Our software merely gives further guidance/advice that might or might not need to be adopted by the user. (AI software results by all companies have biases and we can only mitigate some of these biases.)
Frequently Asked Questions (FAQs):
Question) What's so special about you -- why do we need you to provide AI consulting to help us choose AI solutions?
• Aitagem is unique - we are Asia's FIRST AI consulting tech company that provides independent and unbiased assessments of AI solutions provided by different vendors, AND we unbiasedly connect ethical trusted AI to each other in global regions. For example, we see lots of rapidly growing AI business needs in ASEAN and ANZ regions -- so we connect ethical trusted AI businesses in America, China, India and Europe regions to suitable customers in these two regions. Another example is we see lots of rapidly growing excitement in AI in the Middle East, India, China and Japan regions, so we also connect ethical trusted AI solutions to customers in these regions too. When selecting the customized AI solutions for our customer, we are not biased by whether the AI provider comes from a specific region or not. We focus on whether the combined AI solutions meet the customer's needs and adhere to all applicable laws. AND we also develop our own in-house TRUSTED AI solutions. Aitagem literally pioneered the concept of connecting TRUSTED AI in Asia.
• Our employees ("Aitagemers") have verified actual real-world work experiences in our respective operated regions - America, Greater China, Japan, Korea, India, ASEAN, ANZ, Middle East, Europe regions. This local cultural understanding of each region's business working styles help facilitate connecting TRUSTED AI among the regions.
• Aitagem AI consulting has disrupted the consulting industry: Customers tell us they spent weeks, months and some even >1 year looking at vendors' demos, RFPs, PoCs, and other inputs from vendors, consultants, etc. After wasting so much time, some customers are still confused about whether the vendors' tech solutions can really help them. Aitagem AI solutions accelerate your detailed high-accuracy checks on vendors' claims to you. And our robust unbiased AI even automatically recommends the optimal ethical TRUSTED AI solutions that meet your business needs, with our AI experts' inputs. Based on our surveys, most customers can understand our optimal AI solutions in less than a week, reduce time wastage by >90%, increase productivity by >30%, and improve their business metrics quickly. Here's also what customers like about Aitagem AI solution --- it is a SaaS (Software as a service) that helps to continuously giving you instant AI consulting advice with ethical considerations, based on what tech business decisions you want to do and other variables.
• We have a large team of in-house AI experts who are truly passionate about AI. Our hiring process is rigorous and thorough, to ensure that we hire among the best AI experts in the world.
• Aitagem's proven AI solutions - In the first month of our existence, we had already gained more than 500 paid customers globally, in Asia, because of the high-quality of our TRUSTED AI service. Our number of customers in Asia is growing rapidly.
• We are available to help our customer 24/7 - 24 hours a day, 7 days a week. This means that when you contact us, our AI bot and/or our people will try to answer your questions and reply to you as soon as possible. Our strong customer-focused work attitude extends to the way we conduct business meetings, where we focus on providing the most optimal AI business solutions for you.
• TRUST, ETHICS, INTEGRITY and HONESTY are the main characteristics of how we do business. We will tell you the honest truths, even if that means that we will lose the business. So most customers stick with us and remain loyal because they believe that they can get the best unbiased AI consulting advice from us, Aitagem.
Question) But the Large Language Models (LLMs) developed by different tech companies are the same, so why should we even need to analyze which AI models are suitable for the customer?
It is not true that the LLM models are the same. Aitagem AI will help you succeed by analyzing these AI models to choose the best AI solutions to meet your business needs. There are several key differences between LLMs developed by different tech companies:
• TRUSTED AI - Ethical AI considerations
Tech giants, tech startups, tech service providers etc all take very different approaches to mitigating biases, toxicity, and misuse of their LLM models, based on their principles and priorities. This impacts the real-world safety and trustworthiness of LLMs. So while LLMs share fundamental language modeling capabilities, the specific architectures, training data, resources, commercial factors, and principles behind them lead to a diversity of models with varying strengths and limitations. The LLM landscape is rapidly evolving with new models emerging frequently.
• Model Architecture and Training
While most LLMs utilize transformer architectures, the specific architectures, model sizes (number of parameters), and training data can vary significantly across different models. For example, Google's LaMDA has a different architecture compared to OpenAI's GPT models. The type and quantity of data used for pre-training also impacts model capabilities.
• Capabilities and Specializations
Some LLMs are designed as general-purpose models like GPT-3, while others are specialized for certain tasks like coding (Codex), dialogue (Meena), or multimodal understanding (Gemini). This specialization affects their performance strengths. Custom LLMs can be fine-tuned on proprietary data for even greater specialization.
• Compute Resources
Training large LLMs requires immense computing power. Major tech companies have the resources to train very large models, while smaller players may focus on more efficient architectures. This impacts the scale and quality of models.
• Commercial Availability
Some LLMs like GPT-3 are available via APIs, while others like Google's LaMDA are closely guarded proprietary models. This determines which models developers and companies can actually access and deploy.
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