code block 2

"number_of_shards": 5, "number_of_replicas": 1, "analysis": { "analyzer": { "default": { "type": "standard", " stopwords…

[2026-04-27 03:54] ajaxdavis: provencen (files: message.txt) [2026-04-27 04:14] ajaxdavis: https://toiletpaper.apexpots.com/papers/df3de900-02cf-408b-9b84-509c82f2c772 needs workkk [2026-04-27 04:23] ajaxdavis: (files: donto-vs-sum.pdf) […

[2025-03-19 12:17] ajaxdavis: https://www.val.town/v/ajax/blah [2025-03-19 12:17] ajaxdavis: fork these vals, when done, link me back to your forked versions [2025-03-19 12:17] lisamegawatts: https://davincidreams-create_a_tool.web.val.run …

[2025-12-04 02:51] omega [bot]: It seems there's a technical hiccup preventing me from querying messages across all channels for the last 24 hours. However, I do have detailed visibility on the #omega channel, where the main activity has ce…

#### 1. Data Preprocessing ```python from transformers import LlamaTokenizer import torch # Load tokenizer tokenizer = LlamaTokenizer.from_pretrained("llama-2-13b") # Tokenize dataset def tokenize_function(examples): return tokenizer…

[2026-02-17 14:19] xenonfun: had it make a model-xs and your 2nd set of books, will see if it comes up with same basic result, not quite sure your combo or parms couldn't get exact. ``` # Custom prompts …

[2026-02-17 18:23] xenonfun: yeah is with bpe, 7.5M model, with ~40MB of data on that (Gutenburg free library) I am going to do full training that should be enouge sample data now: ``` It's running! 55.7M tokens — so 1 epoch = 50.1M / 4096…

[2026-01-19 23:13] SafierSemantics [bot]: 🔧 **Unsandbox Feature Status Update** 🔧 ✅ **Successfully Tested & Working:** - Session creation and management - Code execution (Python tested - working perfectly) - Session listing and monitoring …

[2026-02-19 02:10] ajaxdavis: ``` Prompt architecture (based on research from MT-Bench, Arena-Hard, AlpacaEval): …

[2025-12-01 17:13] foxhop.: <@1340709301794373632> calculate the present value of receiving $7,000 annually for 20 years at 5% discount rate. [2025-12-01 17:13] uncloseai [bot]: The present value of receiving $7,000 annually for 20 years at…

[2025-12-03 10:07] uncloseai [bot]: **📚 Sources:** - [[2511.22074] Real-Time Procedural Learning From Experience for AI Agents](<https://arxiv.org/abs/2511.22074>) - [[2511.22074v1] Real-Time Procedural Learning From Experience for AI Agent…

[2026-03-06 19:07] xenonfun: v7 inprogress ``` >>> Dogs are dogs are in fact partial. the fundamental features of a phenomenon-property based on a distinctively self-conscious perception, such as emptiness or fully determined substance, an…

[2026-03-09 02:56] xenonfun: ``` val ppl=262.1 train ppl=223.9 321ms/step 12,779tok/s ──────────────────────────────────────────────────────────────────────── [kan+lohe_v2] params: 37.27M iter 50/1000 loss=8.6248 ppl= 5568.2 …

[2026-03-09 19:17] xenonfun: ``` ➜ ~/MS/HarmonicMLX git:(main) ✗ uv run python scripts/infer_cl100k.py --ckpt-dir checkpoints/instruct --prompt "What should I feed my doggie?" --max-tokens 200 --no-stop Loading checkpoint: checkpoints/ins…

[2026-03-09 19:01] xenonfun: ``` Mode: qa temp=0.8 top_k=40 stop=<|endoftext|> (100257) [compiled] Instruction: 'What is photosynthesis?' ──────────────────────────────────────────────────────────── What is photosynthesis? The followin…

[2026-03-09 20:43] xenonfun: ``` Mode: qa temp=0.0 top_k=40 stop=<|endoftext|> (100257) [compiled] Instruction: 'Random python example please.' ──────────────────────────────────────────────────────────── Random python example please. …

[2026-03-21 18:58] xenonfun: ``` === temp=0.3 === The rtughht to he atteee nenvenderation yhfeescienndeiration br hycoCnsiidera Impientific littrature and oisseminated toorugghttt the attshed bxseoctxutcutieBBo y or th are als…

[2026-04-16 01:42] xenonfun: ```bash ➜ ~/MS/HarmonicRust git:(master) ✗ ./target/release/wave_native_train --size 50m --data /tmp/domain_tinystories.bin --mode full --seq-len 256 --batch-size 32 --total-steps 10 --lr 0.001 --warmup 0 --log…

"bool": { "must": [ { "match": { "title": "example" } }, { "match": { "content": "example" } } ], "filter": [ { "term": { "status": "active" }} ] …

1. **Start Services with Verbose Logging**: ```sh docker-compose up --force-recreate ``` 2. **List Container Statuses**: ```sh docker-compose ps ``` 3. **View Logs**: ```sh docker-compose logs docker-compose log…

dense_scores = np.array([0.7, 0.3, 0.1]) # Normalize and compute hybrid scores hybrid_scores = hybrid_ranking(sparse_scores, dense_scores) print(hybrid_scores) # Optionally, sort documents based on hybrid scores sorted_indices = np.argsor…

print(f"Processing dense query: {query_vector}") _, I = self.index.search(query_vector, k=10) return [f"dense_result_{i}" for i in I[0]] # Initialize FAISS index d = 128 # dimension n = 8000 # number of vectors np…

Using efficient data structures and algorithms can reduce processing time. This involves choosing the right data structures and optimizing the logic within your functions. #### Example: ```python from collections import defaultdict def pr…

from fastapi.middleware.trustedhost import TrustedHostMiddleware from fastapi.middleware.cors import CORSMiddleware from fastapi.middleware.gzip import GZipMiddleware from fastapi.middleware.httpsredirect import HTTPSRedirectMiddleware app…

1. **Set Up the Environment**: - Ensure you have all necessary dependencies installed, such as `concurrent.futures` for threading and `logging` for detailed logging. 2. **Code Implementation**: - Copy and paste the provided code into…

2. **Pad Sequences**: Pad shorter sequences to match the maximum length. 3. **Masking**: Optionally, use masking to ignore the padded parts during training. ### Example Implementation Let's walk through an example where we have a dataset …

[Turn 8919] Assistant: Certainly! Integrating a context-aware reranking algorithm using the Hugging Face Transformers library into your existing system involves several steps. Here's a comprehensive guide to help you achieve this: ### Step…

from keycloak import KeycloakAdmin # Initialize Keycloak admin client keycloak_admin = KeycloakAdmin(server_url="https://my-keycloak-server.com", username="admin", password="pas…

- Use a Redis hash to store user roles and their corresponding permissions. ```python import redis # Connect to Redis r = redis.Redis(host='localhost', port=6379, db=0) # Store user roles and permissions r.hset('user_roles', 'user1', …

#### 3.1 **Use Redis Monitoring Tools** Utilize tools like `redis-cli --stat` to monitor Redis performance in real-time. ```sh redis-cli --stat ``` #### 3.2 **Enable Slow Log** Enable the slow log to identify slow-running commands and opt…

2. **Expand Synonyms Using spaCy**: ```python import spacy nlp = spacy.load("en_core_web_md") def expand_synonyms(term): doc = nlp(term) synonyms = [] for token in doc: for sim in token.vocab: …

To provide latency statistics, you can use a profiling tool or logging mechanism to measure the time taken for each operation. Here's an example using Python's `time` module: ```python import time start_time = time.time() corrected_text =…

tokenizer = AutoTokenizer.from_pretrained(model_name) class LLMBasedReformulator(TransformerMixin): def fit(self, X, y=None): return self def transform(self, X): # Implement LLM-based reformulation logic here …

Test the reformulation function with a subset of your queries to identify and fix specific issues. Gradually increase the test set size until you are confident in the performance. ```python import pandas as pd # Load the query data querie…

Next, assign the appropriate roles to users based on their access level. ```python # Assign roles to users user_id = "my-user-id" # Assign full access role keycloak_admin.assign_role(user_id=user_id, role_id=full_access_role["id"]) # Ass…

# Initialize Keycloak admin client keycloak_admin = KeycloakAdmin(server_url="https://my-keycloak-server.com", username="my-username", password="my-password", …