ChatGPT looks smarter than it is, just like humans.
LLMS
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Microsoft ChatGPT Integration Timeline for Bing Search
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How long before Microsoft incorporates ChatGPT into Bing?
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Why Everyone’s Obsessed With ChatGPT
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Why Everyone's Obsessed With ChatGPT
#AI #RuleoftheRobots https://
cnet.com/tech/computing
/why-everyones-obsessed-with-chatgpt-a-mindblowing-ai-chatbot/
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CICERO: Meta AI’s Language Model for Human Cooperation
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Meta AI’s @em_dinan explains what makes CICERO different from other language models. Its ability to cooperate with humans through natural language, Its grounding in specific intentions and plans for the game board.
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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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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
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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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Spanish Whisper Medium Model Fine-tuned Achieves 5.4% Error Rate
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Whisper medium checkpoint fine-tuned on Spanish with a WER of 5.4218 by @juancopi81 https://
huggingface.co/juancopi81/whi
sper-medium-es
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LangChain Mid-Week Release: Community Updates and Future Discussions
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Thanks to all for a surprisingly big mid-week release! Lots is happening. Check out the GitHub or Discord to stay up to date + help discuss future ideas GitHub: https://
github.com/hwchase17/lang
chain
… Discord: https://
discord.gg/6adMQxSpJS -
New Requests Chain: LLM Interaction with Web URLs
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@BruceHammer helped add a requests chain This hits a given URL, and then passes the parsed response as context to the LLM. Very useful interacting with the web! See the example of doing a google search here: https://
langchain.readthedocs.io/en/latest/exam
ples/chains/llm_requests.html
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