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AI
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Perplexity AI Launch: Ad-Free Question Answering Tool
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Citations and Fact-Checking: Foundations of AI Accountability
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Citations are a way to ensure that non-accurate results can be fact-checked. Citations inspired (albeit in a different way) the Google PageRank Algorithm.
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Search Accuracy Issues in LLM Entity Resolution Systems
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Results are not always accurate. For example, a search about “what are LLMs” struggles with entity resolution with the law degree and large language models. Feedback for negative results could help fix this. pic.twitter.com/w1JtYehRup
— Perplexity (@perplexity_ai) 7 décembre 2022Results are not always accurate. For example, a search about “what are LLMs” struggles with entity resolution with the law degree and large language models. Feedback for negative results could help fix this.
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WebGPT-Inspired Search with AI Summaries and Citations
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Inspired by OpenAI WebGPT, instead of displaying a list of links, we summarize the search results and include citations so that you can easily verify the accuracy of the information provided.
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Perplexity Ask: New AI-Powered Search Interface with GPT-3.5
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Announcing Perplexity Ask, a new search interface that uses OpenAI GPT 3.5 and Microsoft Bing to directly answer any question you ask.https://t.co/FRNkFsnMrmhttps://t.co/R4G21AmwQ7 pic.twitter.com/iKRMUWgzob
— Perplexity (@perplexity_ai) 7 décembre 2022Announcing Perplexity Ask, a new search interface that uses OpenAI GPT 3.5 and Microsoft Bing to directly answer any question you ask. https://
perplexity.ai https://
discord.com/invite/kWJZsxP
DuX
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Grace Hopper’s COBOL: pioneering free software in 1960
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#otd in 1960 Grace Hopper launched her programming language COBOL, one of the world’s first pieces of free software – and one that’s still used in many banking & payroll systems.
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LambdaAPI Giveaway: $330 Cloud Credits for Whisper Fine-tuning
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Last but not least! @LambdaAPI will giveaway 330$ cloud to the 3 participants of the event. Anyone who shares their journey fine-tuning the Whisper model on twitter and tag @huggingface & @LambdaAPI would be eligible. 330$ is enough to get 300 1x A100 compute
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Whisper Small Model Fine-tuned for Greek to English Translation
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Whisper small checkpoint fine-tuned for Greek to English translation task https://
huggingface.co/farsipal/whisp
er-sm-el-frzEnc-xlate
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Whisper Large Czech Fine-tuned Model Achieves 10.278 WER
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Whisper large checkpoint fine-tuned for Czech with a WER of 10.278 by @miker
