- Large Language Models
Discover how Knowledge Graph enhance LLMs, reducing hallucinations and improving AI performance through structured, interconnected data.
Discover how Knowledge Graph enhance LLMs, reducing hallucinations and improving AI performance through structured, interconnected data.
Which AI video generator is better: Sora or Movie Gen? OpenAI's Sora is impressive, but Meta's Movie Gen might be even more groundbreaking. Let's find out.
AI code generation is when tools like ChatGPT or other AI models automatically create code based on your input prompts. Explore more now.
By shifting focus from simple language tasks to complex reasoning, o1 aims to bridge the gap and make AI a valuable tool for tackling sophisticated, real-world challenges.
AI security is the bottleneck preventing the adoption of AI in enterprises, particularly due to the need for robust data and intellectual property governance.
Agentic AI apps can break down projects into manageable steps, iterate on solutions, use different tools, and adapt their strategies in real-time.
The applications of generative AI in data analytics are huge and span from EDA to building ML models, predictive modelling, and more
Are we going to shift from "Googling" information to "GPT-ing" it? OpenAI has recently announced its new AI search engine called SearchGPT.
Meta released the most powerful open-source language model, Llama 3.1. Its performance is compatible with models like GPT-4o, and Claude 3.5.
AGI has been one of the most contested theories. Interestingly, the rise of generative AI has only intensified the debate around AGI.
Reinforcement Learning from Human Feedback (RLHF) is pivotal for aligning AI systems with human values and boosting their performance across various domains.
AI generated music is all set to disrupt the music industry with a projected market size of USD 2,660 million by 2032. Learn more about the music of AI generated music
Apple Artificial Intelligence brings sophisticated AI directly to devices while maintaining high privacy standards. Read more about the tech behind the new release.
OpenAI's latest language model, ChatGPT-4o is a significant advancement from its predecessors due to its unique training on multimodal data.
Creating impactful AI apps is still a frontier, filled with challenges and requiring pivotal decisions on cost management, technology selection, and more.
The no-code development phenomenon has drastically changed with the emergence of generative AI, with the industry projected to reach $187 billion by 2030.
Generative AI now boasts over 600 use cases that could significantly advance the United Nations' sustainable development goals.
Agentic workflows are all about making LLMs smarter by integrating them into structured processes. This helps the AI deliver higher-quality results.
Vector embeddings are the very basis of how large language models function. They open doors to various use cases like semantic search, natural language processing, and more
LangChain is a popular and powerful tool that simplifies building LLM applications by employing abstractions.
Generative AI will impact the education system as a whole whereby the lives of students, teachers, administrators, and course creators will be largely affected.
The process of building a RAG-powered LLM application is nuanced. Explore various challenges you can experience in different stages of your RAG pipeline
RAG is a framework that connects external sources of information with the LLM so that its responses are context-aware and accurate.
Explore the changing landscape of the AI chips industry after the rise of large language models | Major competitors in the industry | NVIDIA's growth debunked
Open-source LLMs are not only proving to be helpful for organizations, but they are also the source of innovation and democratization of AI across the world.
Small language models are scaled-down versions of larger AI models like GPT-4. They are designed to perform similar tasks but with fewer parameters.
Sora is a first of its kind Text-to-Video model released by OpenAI. The model is capable of producing videos for up to 1 minute in high definition.
As interesting as it sounds from its name, Mixtral seems to top the leaderboards challenging models created by big tech such as Meta's LLaMA 2, OpenAI's GPT 3.5, and Google's Gemini Pro.
LLMs do not process information like we humans do. To put it simply, they are like big probabilistic models trying to predict the best responses possible. And because of how they process information and predict outputs, they often behave weirdly.
The strength of the transformer model is in its ability to understand the significance and context of every word in a sentence, unlike RNNs which primarily assess the connection of a word with its immediate neighbor.
Generative AI is poised to automate 60-70% of current employee work time in the future creating a world where people will have personal assistants that can help them increase their productivity.
Throughout 2023, generative AI made striking progress globally, with several key players, including Amazon, Google, Microsoft, OpenAI, and Anthropic engaging in a heated competition.
Large language models are very powerful. However, the tools that use them can sometimes not leverage them fully. To avoid such dumb encounters, there are several methods that bolster the performance of LLM-powered tools.
The European Union passed the draft for AI Act which aims to implement detailed regulations on AI systems, focusing on high-risk AI with obligations for data governance, and more.
Multimodality is the future of generative AI. The power to not only understand text but audio, video, and more allows these models to master tons of use cases.
when it comes to the role of generative AI in healthcare industry, it's expected to make a dent of about $1 trillion. It's like, is AI taking over what we thought was one of the most "human" professions.
Prompt engineering is your key to automate any task at hand with the help of AI. Best prompts yield desired outputs. Learn how to draft them now!
GPT-4 is the first language model that shows sparks of AGI including strong reasoning, problem-solving, and abstract thinking abilities.
The rise of large language models has sparked a heated debate about whether open-source AI is a reliable option or we should prefer closed-source options.
While we are all avidly using AI for various reasons, can we truly trust AI? Dive deeper into the risks of AI and how to mitigate them.
For finance, medicine, education, and beyond, fine tuning tailors these models to tackle your specific tasks in the way you want.
With AI generated art being so easily accessible on apps like MidJourney, ChatGPT, and more, it is important for us to leverage them fully. Learn how.
This era marks the emergence of AI for enterprise, promising us a world where humans will have AI for god-like assistance and the finest automation for maximized productivity
We've highlighted 9 essential domains that you need to have complete hold of in order to master generative AI and LLMs. We've attached various resources that will help you get a clearer picture.
Learn how AI tools like ChatGPT, MidJourney, Gemini and more can revolutionize your work: Explore use cases in the functions of data science, content writing, programming & more!
An LLM is an advanced machine learning algorithm capable of identifying, condensing, translating, predicting, and generating various forms of text and content using extensive datasets.
Data science has taken over the world and it is not surprising. Over 33% of companies now rely on data science as a vital component of their decision-making process.
From modest beginnings to a household name, these trailblazing advancements collectively propelled AI to transform industries and open up new opportunities for exploration and innovation.
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