With new AI models from Google and Anthropic emerging, studies highlight GPT-4o’s leading performance, though other models also show strong capabilities.
At Google I/O Connect, Bengaluru, the generative AI powerhouse expanded access to its multimodal AI model Gemini 1.5 Pro and family of open models Gemma 2 for Indian developers. The
“This is my first visit to India, and I was very impressed with the level of innovation and new ideas, especially from startups that have been able to grow,” Chen
The added features are a massive boon to developers, as they serve to improve the functionalities of both Gemini 1.5 Pro and the Gemini API.
This partnership leverages Google Cloud’s expertise in generative AI and machine learning capabilities to create unique and creative designs
The rise of voice-based generative AI assistants.
The model is available in 8B and 70B parameter versions and has been trained on over 15 trillion tokens, making it seven times larger than Llama 2’s dataset.
The model can process upto 10 million tokens.
Apple recently published a new paper unveiling MM1, a new family of multimodal AI models — with the largest at 30B parameters.
With a simple click on the “Ask Gemini” option, users can unlock a treasure trove of functionalities aimed at simplifying complex data-related challenges.
Chandrasekhar also criticised Gemini’s release on Indian internet without proper disclosures and disclaimers.
Google plans to resume the image generation capabilities of Gemini soon.
The largest version of Llama 3 could surpass 140 billion parameters, exceeding its predecessor Llama 2.
“This week has been tough with a lot of criticism about Gemini’s gaffes”- Andrew Ng.
The model demonstrates improved efficiency in and cost effectiveness.
He spoke about the company’s strategic focus on harnessing the country’s talent for advancements in this space.
Alongside Mistral Large, Mistral AI has also introduced Mistral Small, an optimised model designed for low latency workloads.
While acknowledging the possibility of some hallucinations, Bhavish Aggarwal assures users that the occurrence will be lower in Indian contexts compared to other global platforms.
Trained on a public dataset of 70 million images, besides English, Kalaido.ai can take inputs in 17 Indian languages including Hindi, Kannada, Tamil, Telugu and Sanskrit.
“These are direct violations of Rule 3(1)(b) of the Intermediary Rules (IT Rules) of the IT Act and violations of several provisions of the Criminal Code”
Google announced it is pausing its Gemini artificial intelligence image generation feature after saying it offers “inaccuracies” in historical pictures.
Founder-driven marketing strategy of Perplexity AI on X platform has sure created a lot of buzz
Gemma outperforms Llama 2 on several benchmarks, including MMLU, HellaSwag, and HumanEval.
“The worst take that I have seen these past few days is that long context models like Gemini 1.5 will replace RAG”
Google won’t use conversations or enterprise data to train the Gemini model
OpenAI’s newest text-to-video generation model has invited scrutiny by rival big tech companies
“Overall, the video is visually appealing, but the inconsistencies suggest that it is not a real-life scene.”
It can process vast amounts of information in one go, including 1 hour of video, 11 hours of audio, codebases with over 30,000 lines of code, or over 700,000 words.
A Google and IPSOS report reveals that 82% of Indians believe they will personally benefit from AI in the next five years, outpacing the global average of 54%, with 20%
Tech mahindra news | Meta news | Semiconductor news | Mphasis news | Oracle news | Intel news | Deloitte news | Jio news | Job interview news | virtual internship news | IIT news | Certification news | Course news | Startup news | Leetcode news | claude news | Snowflake news | Python news | Microsoft news | AWS news
Discover how Cypher 2024 expands to the USA, bridging AI innovation gaps and tackling the challenges of enterprise AI adoption
© Analytics India Magazine Pvt Ltd & AIM Media House LLC 2024
