This model is the pioneering open-access member of the EXAONE family, designed to democratize expert-level AI capabilities.
The MMAU benchmark features 20 tasks and over 3,000 prompts for a detailed assessment of LLM capabilities, aiming to pinpoint specific skill-related model failures.
PaliGemma excels in image captioning and video understanding, surpassing larger models with its versatile architecture and achieving top results on benchmarks like MMVP and Objaverse Multiview without task-specific fine-tuning.
The company sees India as the second go-to market for growth and scale after the USA.
Kannada Llama aka Kan-LLaMA, is a 7 billion Llama 2 model which is LoRA pre-trained and fine-tuned on “Kannada” token, built by a Mumbai-based company called Tensoic.
“As a successor of LSTM. We have a new thing. It’s not published, it’s hidden. It’s called XLSTM,” says the German computer scientist Sepp Hochreiter
Fractal’s backing as a prominent AI company and its strong relationships with Fortune 500 enterprises position Flyfish for success
Companies making generative models accessible are thriving more than a more impactful research
People in AI research who could be excellent teachers are basically forced to do second and third grade research because that’s how they get promoted
DarkBERT finds its use cases in researching dark web, alongside identifying cyber security threats like Ransomware and leak site detection and others.
Dolly 2.0 is that it is available for commercial purposes unlike other ‘open’ source LLMs.
The API is 10x cheaper and ready to use!
The model can make use of visual data to enhance its language processing capabilities.
With the back-and-forth praising and acknowledgement of each other’s work since ChatGPT’s launch, Karpathy’s jump to OpenAI was long due.
This BitTorrent-style running of large language models (LLMs) allows many times faster inference when compared to offloading on single systems, closer to 1 second per token. Parallel inference can reach
The new language model from Amazon is a large-scale multilingual model, pre-trained on a set of denoising and Causal Language Modelling (CLM) tasks
Program evolution using large language-based perturbation bridges the gap between evolutionary algorithms and those that operate on the level of human thoughts.
Access to the model will be granted to academic researchers; those affiliated with organisations in the government, civil society, and academia; along with industry research laboratories around the world.
GitHub Copilot is designed along the lines of its predecessor Natural Language Semantic Code Search.
AI21 Studio allows developers to easily customise a private version of Jurassic-1 models, shortening time to production and lowering costs.
Language modelling involves the use of statistical and probabilistic techniques to determine the probability of a given sequence of words in a sentence. To make word predictions, language models analyse
Natural language understanding has made tremendous strides over the past decade. At the recent Google I/O event 2021, Prabhakar Raghavan, Senior Vice President at Google, unveiled a new AI technology
Recent advancements in natural language processing (NLP) have touched many heights over the past few years. Pre-trained high-capacity language models such as ELMo and BERT have gained popularity in NLP.
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