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7 best transcript summarizers powered by AI

AssemblyAI

  Best for custom summaries AssemblyAI Source: AssemblyAI AssemblyAI is an industry-leading API for speech-to-text and speech understanding models, built by a team of top Speech AI research experts. Pricing starts at $55 per month for call tracking and AI and up to $175 per month for use of its complete suite.  

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Future AGI Secures $1.6M to Launch the World’s Most Accurate AI Evaluation Platform

Unite.AI

Future AGIs proprietary technology includes advanced evaluation systems for text and images, agent optimizers, and auto-annotation tools that cut AI development time by up to 95%. Enterprises can complete evaluations in minutes, enabling AI systems to be optimized for production with minimal manual effort.

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Top Ten Stories of the Year in AI Writing: 2024

Robot Writers AI

And PR Newswire which made its bones with the help of pro writers who wrote press releases for thousands of companies for decades released a new suite of AI tools that enables businesses to auto-write those press releases themselves. could find itself in an all-or-nothing race with China to dominate AI. Even worse: The U.S.

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Allen Institute for AI Researchers Propose SUPER: A Benchmark for Evaluating the Ability of LLMs to Set Up and Execute Research Experiments

Marktechpost

The SUPER benchmark is divided into three distinct sets: The Expert set includes 45 manually curated problems based on real research tasks. The Auto set consists of 604 automatically generated tasks designed for large-scale development and fine-tuning of models.

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This AI Research Introduces Flash-Decoding: A New Artificial Intelligence Approach Based on FlashAttention to Make Long-Context LLM Inference Up to 8x Faster

Marktechpost

Large language models (LLMs) such as ChatGPT and Llama have garnered substantial attention due to their exceptional natural language processing capabilities, enabling various applications ranging from text generation to code completion. Join our AI Channel on Whatsapp. If you like our work, you will love our newsletter.

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Researchers from Waabi and the University of Toronto Introduce LabelFormer: An Efficient Transformer-Based AI Model to Refine Object Trajectories for Auto-Labelling

Marktechpost

Auto-labeling methods that automatically produce sensor data labels have recently gained more attention. Auto-labeling may provide far bigger datasets at a fraction of the expense of human annotation if its computational cost is less than that of human annotation and the labels it produces are of comparable quality.

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This AI Research Introduces Fast and Expressive LLM Inference with RadixAttention and SGLang

Marktechpost

The KV cache is not removed from the radix tree when a generation request is completed; it is kept for both the generation results and the prompts. To improve the cache hit rate, the researchers employ a cache-aware scheduling policy in conjunction with a Least Recently Used (LRU) eviction policy.

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