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Fix embedding-based classification documentation #597

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merged 2 commits into from
Apr 16, 2024
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Fix embedding-based classification documentation #597

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66456eb
fix documentation w.r.t. possible range of embedding scores
SebastianZettAA Mar 8, 2024
48f4f63
fix typo in classification notebook documentation
SebastianZettAA Mar 8, 2024
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4 changes: 2 additions & 2 deletions src/examples/classification.ipynb
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Expand Up @@ -32,7 +32,7 @@
"LLMs, on the other hand, can swiftly process and categorize enormous datasets with minimal human intervention.\n",
"By leveraging LLMs for classification tasks, organizations can unlock insights from their data more efficiently, streamline their workflows, and harness the full potential of their information assets.\n",
"\n",
"In this notebook, we present to alternative ways for classifying text using Aleph Alpha's Luminous models.\n",
"In this notebook, we present two alternative ways for classifying text using Aleph Alpha's Luminous models.\n",
"First, let's have a look at single-label classification using prompting.\n",
"\n",
"### Prompt-based single-label classification\n",
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"Again, let's appreciate the difference of this result compared to `PromptBasedClassify`'s result.\n",
"- The probabilities do not add up to 1.\n",
"In fact, we have no way of predicting what the sum of all scores will be.\n",
"In some cases, individual scores may even be negative.\n",
"We only know they will be in the range from 0 to 1.\n",
"All we know is that the highest score is likely to correspond to the best fitting label, provided we delivered good examples.\n",
"- We were much quicker to obtain a result.\n",
"\n",
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