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Creating a new data labeling platform: A member questioned for feedback on setting up a different sort of data labeling platform, inquiring about the most typical varieties of data labeled, approaches used, suffering details, human intervention, and likely cost of an automated Remedy.
LLMs and Refusal Mechanisms: A blog publish was shared about LLM refusal/safety highlighting that refusal is mediated by just one path inside the residual stream
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ChatGPT’s gradual performance and crashes: Users experienced slow performance and Recurrent crashes while working with ChatGPT. A single remarked, “yeah, its crashing usually in this article way too.”
Panic over account lock: The Buddy was nervous and only waited one hour for support before looking for further more help. “I explained internet to her to look ahead to now.”
Customers highlighted the necessity of model measurement and quantization, recommending Q5 or Q6 quants for optimum performance given certain hardware constraints.
Fascination in empirical evaluation for dictionary learning: A member inquired if there are actually any advisable papers that empirically Consider model habits when motivated by functions observed by way of dictionary learning.
Documentation myfxbook copy trading results on rate restrictions and credits was shared, outlining how to check the balance and directory utilization via API requests.
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Call for Cohere team involvement: A member clarified the contribution was not theirs and termed out to Neighborhood contributors.
Improving upon chatbots with knowledge integration: In /r/singularity, a user is astonished large AI organizations haven’t connected their chatbots to knowledge bases like Wikipedia or tools like WolframAlpha for enhanced accuracy on information, math, physics, and many others.
Reaction from support question: A respondent mentioned the possibility of seeking into The difficulty but pointed out that there might not be A great deal they're able to do. “I do think The solution is ‘practically nothing really’ LOL”
wasn’t talked over as favorably, suggesting that decisions among designs are motivated by particular context and targets.