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Ammy AI Account Deletion Steps
Ammy AI Account Deletion Steps Last Updated: 01-July-2025Developer: Subrat Kumar SahooEmail: [email protected] How to Request Account Deletion: Send an email to: [email protected] the subject: Account Deletion RequestAnd include: Your registered phone number (used for login) Reason (optional) We will process your request within 7 business days.
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Ammy AI Smart Call Assistant
Privacy Policy Table Of Content: Effective Date: 01-July-2025App Name: Ammy AI – Smart Call AssistantDeveloper: Subrat Kumar SahooContact Email: [email protected] Introduction: We value your privacy. This Privacy Policy explains how Ammy AI – Smart Call Assistant collects, uses, and protects your information when you use our app. By using this app, you agree to the terms outlined below. Information We Collect: (a) Personal Information We may collect: Your phone number (if needed for caller identification) Contact names and numbers (to identify callers and help personalize the call assistant) We do not collect or store any personal data without your permission.
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GenAI – LLM DB Models
GenAI – LLM DB Models Table Of Content: What Are LLM DB Models ? Full Code: # # Copyright 2024 The InfiniFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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GenAI – LLM Common Services
GenAI – LLM Common Services Table Of Content: What Are LLM Common Services ? Full Code: # # Copyright 2024 The InfiniFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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GenAI – LLM Services
GenAI – LLM Services Table Of Content: All About LLM Services Full Code: # # Copyright 2024 The InfiniFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the
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GenAI – Recursive Depth First Search Algorithm.
GenAI – Recursive Depth First Search Algorithm Table Of Content: What Is Recursive Depth First Search Algorithm? Step By Step Working Of RDF Algorithm Applications Of RDF Algorithm. How DFS Helps In Tokenization. (1) What Is Recursive Depth First Search Algorithm ? (2) Step by step way of traversing through Trie tree using RDF algo using one example . (3) How DFS Algorithm Works On Trie Tree ? (4) How DFS Algorithm Helps In Tokenization ?
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GenAI – Custom RAG Tokenizer.
GenAI – Custom RAG Tokenizer. Table Of Content: Custom RAG Coadding. (1) Python Code import logging import copy import datrie import math import os import re import string import sys from hanziconv import HanziConv from nltk import word_tokenize from nltk.stem import PorterStemmer, WordNetLemmatizer from api.utils.file_utils import get_project_base_directory class RagTokenizer: def key_(self, line): return str(line.lower().encode("utf-8"))[2:-1] def rkey_(self, line): return str(("DD" + (line[::-1].lower())).encode("utf-8"))[2:-1] def loadDict_(self, fnm): logging.info(f"[HUQIE]:Build trie from {fnm}") try: of = open(fnm, "r", encoding='utf-8') while True: line = of.readline() if not line: break line = re.sub(r"[rn]+", "", line) line = re.split(r"[ t]", line) k = self.key_(line[0]) F = int(math.log(float(line[1]) /
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GenAI – What Is ‘Trie’ Prefix Tree ?
GenAI – What Is ‘Trie’ Prefix Tree ? Table Of Content: What Is Trie ? Key Properties Of Trie. Example Of Trie. What Can We Do With Trie? Why Not Just Use A List ? What Is Prefix Lookup? How ‘Trie’ Helps Text Tokenization ? (1) What Is ‘Trie’ ? (2) Key Properties Of ‘Trie’ . (3) How ‘Trie’ Works Internally ? (4) How “New York City” Will Get Inserted ? ['Ney York City', 'India', 'South Africa'] (5) What Happens If The Word Does Not Exist ? (6) How Trie Helps In Text Tokenization ? (7) How Trie will give
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GenAI – Audio File Chunking Process
GenAI – Audio File Chunking Process Table Of Content: How To Chunk Audio Files ? (1) Reference Links https://github.com/infiniflow/ragflow/blob/main/rag/app/audio.py (2) How To Chunk Audio Files ? Imported File Links: https://github.com/infiniflow/ragflow/blob/main/api/db/__init__.py https://github.com/infiniflow/ragflow/blob/main/rag/nlp/rag_tokenizer.py https://github.com/infiniflow/ragflow/blob/main/api/db/services/llm_service.py https://github.com/infiniflow/ragflow/blob/main/rag/nlp/__init__.py import re from api.db import LLMType from rag.nlp import rag_tokenizer from api.db.services.llm_service import LLMBundle from rag.nlp import tokenize def chunk(filename, binary, tenant_id, lang, callback=None, **kwargs): doc = { "docnm_kwd": filename, "title_tks": rag_tokenizer.tokenize(re.sub(r".[a-zA-Z]+$", "", filename)) } doc["title_sm_tks"] = rag_tokenizer.fine_grained_tokenize(doc["title_tks"]) # is it English eng = lang.lower() == "english" # is_english(sections) try: callback(0.1, "USE Sequence2Txt LLM to transcription the audio") seq2txt_mdl = LLMBundle(tenant_id, LLMType.SPEECH2TEXT, lang=lang) ans = seq2txt_mdl.transcription(binary) callback(0.8,
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Python – What Is Enum Classes ?
Python – What Is Enum Class ? Table Of Content: What Is Enum ? Why Do We Use Enum ? Example Of Enum Class ? What Does StrEnum Means ? Where Do Enums Shine ? Benefits Of Enum ? Summary. (1) What Is Enum ? (2) Why Do We Use Enum ? (4) Example Of Enum. (5) What Is StrEnum ? Example-1: Without StrEnum from enum import Enum class LLMType(Enum): CHAT = "chat" EMBEDDING = "embedding" SPEECH2TEXT = "speech2text" task_type = LLMType.SPEECH2TEXT print(task_type) LLMType.SPEECH2TEXT Example-2: With StrEnum from enum import StrEnum class LLMType(StrEnum): CHAT = "chat" EMBEDDING = "embedding" SPEECH2TEXT
